< Back to Schedule
With a lean BI team of just 5 individuals the right tool selection and roll-out strategy of a new reporting tool was key. Through the enablement of power business users and IT guided adoption program, Tableau has grown in North America and Europe as the reporting tool of the future at Brooks.
In this session I will cover the following topics:
- Creating an effective business case for Tableau within your organization
- The Journey: Realistic benefits & timeline of enabling our business with Tableau
- The Insights: A demo of the most prominent dashboards produced in the first years of our Tableau program and their impact
- Lesson learned: What worked, what didn't, and what's next with our Tableau program
Stamford Health, comprises a 305 bed hospital and over 30 physician practices. Using Tableau as the primary self-service data discovery and visual analytics platform, we have realized the true potential of data by empowering our physicians, clinicians, nurses, and analysts with the actionable insights needed for right time decision making. In a short span of time, Tableau has become the most important tool used across the organization to augment its clinical efficiency, quality improvement, and cost reduction efforts.
In this session, we will present Stamford Health’s journey of transformation of its analytical landscape and accelerate its performance improvement efforts with $ MM in cost savings and efficiency gains, to achieve "analytical nirvana".
It is late 2014 a new analytics team is assembled and start to evaluate the toolsets that are available. And what do they find? Duct tape and chewing gum... or its analytical equivalent - Microsoft BI. But wait, there is hope - PowerPivot running on SharePoint will surely save the day! #fail. It's now early 2015, and we have no way of providing insight to 50+ site managers across the globe about the recent annual services survey sent to 100K employees. Learn how without any IT support, this analytics team threw out the duct tape and chewing gum and got real with Tableau.
Change is difficult - especially when it comes to shifting from traditional text-based reports and data tables to visual analytics. Knowing this, the UNLV Library eased into Tableau by providing staff with a chance to experience Tableau in a supportive learning environment. Within a span of one year, the UNLV Library went from two Desktop Tableau users to 25 Server licenses.
Join us in this session to learn how the UNLV Library overcame doubts, went from mild interest to genuine enthusiasm, and how they strategically developed and implemented a Server deployment plan. Also learn about their next steps as the UNLV Library plans to use Tableau to continue to improve their organization and share their success with academic libraries across the nation.
Is your company thinking about going public and you are unsure what role your data has to play in that? Is your BI strategy IPO ready? Mimecast listed on the NASDAQ in November 2015 and we'd like to take you through how we achieved that using the power of Tableau.
In this session, we will share with you how Mimecast uses Tableau to help acquire, retain and up-sell our customers. We will show you how Tableau driven data analysis helps define strategy at Mimecast and take you through our journey from data laggards to being a truly data-driven company. We will share with you the different ways in which Mimecast uses Tableau, from Desktop data analysis to automated board level PPT creation and everything in between.
How do you manage data and deliver insights when data volumes are exploding? Do you think this might need more than a "traditional" approach? With more than 30 million members and hundreds of terabytes of data, Ebates moved to a non-traditional approach out of necessity. What does that look like, and how do you keep savvy business users happy when you make the leap?
In this session we will share why and how we successfully transitioned from traditional BI on a traditional data-warehouse, to all in self-service BI on Hadoop.
Join us to learn:
- WHY: Why we chose to run BI on Hadoop
- HOW: How we made the transition; the plan, challenges and end-goals
- WHAT: What we did, achieved, and lessons learned
Whether you are swimming up-stream or carrying out marching orders, finding a way to develop your institution’s analytics maturity is increasingly important for higher education. We’ll show you examples of how two very different institutions developed successful Tableau analytics cultures. Calvin College, a top-ranked liberal arts institution of 4,000 students with an executive-driven analytics approach; and Thompson River University (TRU), a Canadian university with 24,000 students (12,000 of which study via distance) that took a “bottom-up” approach to developing analytics. You’ll learn how we’ve implemented Tableau and how we use it to navigate areas such as gaining buy-in, culture shifts, organizational models for analyst teams, working with IR and IT, data architecture, better decision making, and more.
Dell HR leverages Tableau and Tableau Server to perform routine reporting, advanced reporting, advanced analytics, and predictive modeling on a dynamic 150 thousand team member workforce. Learn how the techniques used to show reconciliation reporting, org. hygiene, turnover, shoring, and costs, can be replicated quickly and easily at your enterprise.
Learn how to apply several advanced HR analytics techniques using a simple data set and Tableau. We’ll demonstrate how to construct a time to proficiency visualization that explains how all previous and future new hires can reach key levels of proficiency from their hire date(s). Using built in functions of fits, filtering and colors understand the relationship between your HR on-boarding and the effects on performance.
How Oldcastle found $M with just a few clicks! Actionable insights are often found within data spanning multiple data sources. Using Tableau’s data blending, you are able to quickly perform analysis on multiple extracts without writing lengthy code. This session will demonstrate how Oldcastle, the largest building materials company in North America, is using Tableau dashboards and data blending to better manage sales and inventory.
Within public sector organizations, the demand for access to quality data is driven by increasingly complex social, economic, political and environmental pressures. In this session you will learn how Multnomah County in Portland, Oregon leverages Tableau to make data-driven decisions in service to the community, with examples from our Maternal, Child and Family Health program and central IT. We will share our journey from initial concepts and rogue Tableau Desktop usage, to a formal Enterprise Business Intelligence (BI) program utilizing Tableau Server. In this session we will cover the following topics: (a) transforming local government programs through analytics, (b) central IT and departmental programs partnering for success, (c) empowering users with self-service capabilities, (d) choosing an enterprise analytics visualization vendor, and (e) leveraging Tableau Server’s mobile capabilities to support a mobile workforce.
Come learn about how we are delivering against Pfizer's ambitious goals to increase the speed of analytics, increase adoption and ultimately increasing the number of users "doing" analytics globally.
This session covers our journey from dealing with legacy challenges, to overcoming barriers for adoption, to creation and launching of innovative visualization and analytics services offerings such as Pfizer Visualization Cloud Platform, Envision and Pfizer Analytics Lab using Tableau. This session provides insight into these service offerings and how they are being leveraged across Pfizer, and the central role Tableau plays - from traditional sales reporting all the way through advanced visual analytics incorporating data science methodologies
IGT is a global leader in gaming, enabling players to experience their favorite games across all channels and regulated segments, from gaming machines and lotteries, to interactive/social games. A portion of IGT’s revenues come from gaming operations service, with the placement of more than 20,000 asset machines on customer properties. Identifying poor-performing machines is time critical to efficient casino floor space allocation and improved revenues for both the customer and IGT.
Using agile methodology and an in-memory database as the enterprise data warehouse, IGT is now able to deliver actionable Tableau dashboards to proactively manage asset games in near real-time. These dashboards have the ability to be integrated into Salesforce applications, used by our account managers, and consumed across multiple platforms including mobile devices.
In this session we will cover the following topics:
• How IGT leveraged agile BI
• Tableau + Salesforce Integration (2-way communication)
• Lessons Learned
With the largest retail footprint in the U.S. at over 32k locations and an inventory to manage of over 60 million discs, Redbox has faced many challenges unique to the retail landscape. In this session, we will share how Redbox has leveraged the power of Tableau over the past three years to provide interactive operational tools as well as make critical business decisions in a continuously changing entertainment environment.
In this session you will learn about the joys, challenges, and everything in between as we've raised our Tableau baby from infancy to toddlerhood at American Family Insurance.
In this session, you'll learn about:
- Our Happy Family: How our COE supports our Tableau user community, and brings true collaboration to the organization
- Playdates: How we've engaged our user community
- Growing pains: Working through some of the challenges that culture change brings
- Playing fair: Supporting business self-service needs while maintaining IT governance & structure needs
- Moving into toddlerhood: Specific strategies we employed to take Tableau to the next level
See success in action at Conversant Media - Tableau has made a huge impact in our business culture, as the trusted source to find metrics and to perform deep personalized analysis. Come to this session to learn about our seven tips for a successful Tableau Server deployment and how we transitioned from a small to an Enterprise deployment via a crawl-walk-run way of thinking. Walk away from our session with newfound concepts, actionable insights, and some thought provoking ideas.
How to balance the top down data governance objective of the ever elusive "single version of the truth" with the value added business insights, facilitated by a bottoms up, self-service BI culture? The solution lies in ancient wisdom.
While the two energies may seem to conflict, with the right approach they actually strengthen one another to form a stronger whole. In the session, we will share our journey from multiple versions of the truth to our approach for driving standardized, automated reporting, leveraging Tableau.
Key takeaways include:
- Governance and self-service - you can have both. But how?
- What content to focus on? How does Tableau fit in?
- What makes a report "certified"?
- How a Tableau web portal helped unify the experience
At Seattle Children’s Hospital, we were challenged by supply chain management. Our orders didn’t reflect our needs, and as a result, our supplies were hoarded, hidden, and overstocked. Adopting self-service data discovery and visual analytics was a game changer for us. And our new process has saved us $ MM in inventory, carrying costs, and wastage per year.
In this session, you’ll learn:
- How self-service data discovery and analytics can be leveraged to support supply chain
- The data and analytics driven approach adopted by Seattle Children’s to drive measurable cost savings and productivity
- How actionable insights for physicians, nurses, and clinicians has enabled them to deliver a higher quality of care while removing them from “the supply chain business”
Applying big data to an internal business use case is challenging and requires expertise and focus. Even harder is scaling it out across a global enterprise. In this session, we'll explain how GE Power Services has been able to deliver results in an uncertain world by leveraging big data and scaling its platform across a global employee base that spans over 86 countries and 22,000 users.
Visa offers dozens of products to financial institutions, merchants, and consumers that are powered by applications that run on "virtual machine" servers in Visa data centers. Managing the underlying hardware requires the ability to forecast future server needs well in advance, to ensure that equipment is in place when it is needed. Forecasting anything involving technology using only historical-based trends is fraught with peril, so a forecasting model that allows for user adjustments is important. This session will detail out a technical approach for building an interactive Tableau forecasting model that combines historical-based forecasting with user-controlled adjustments.
The approach involves:
- Creating "placeholder" data for the forecast
- Lots of table calculations to apply the forecasting logic
- Using parameters to make adjustments to the forecast
What do Domino's, Comcast and Tableau have in common? At EMC, we took inspiration from each organization to build a prototype in less than 24 hours that provides our customers with visibility into their EMC onsite service activities. With the help of a Tableau consultant, the rapid prototyping eliminated hours of writing detailed functional and technical designs and transformed a complex customer idea into a tangible working model based on a data extract. This model was later transformed into a customer-facing web page.
Within the last decade, the UK Higher Education sector moved from essentially stable government funding to reliance on student fee income. In this new context, success depends on balancing demands of securing financial sustainability in a volatile student recruitment market with ensuring increasing levels of teaching and research quality. In this session, we’ll discuss the journey towards embracing data as part of this new world, challenges faced in making data robust but approachable, and challenges creating a new data-focused environment with only two Tableau desktop licenses. We’ll also share the development of a planning dashboard created to promote awareness and understanding of the University’s position across a series of key performance indicators, constructive prioritization of improvements needed within teaching and research, good practices, and evidence-based decision making.
This session will share the story of Tableau adoption at Southwest Airlines, the nation's largest carrier in terms of domestic passengers. We'll also share how Tableau has empowered users to exercise their "warrior spirit" by self-serving data. We will talk about our team, Enterprise Data Strategy and our roles as self-service leads within the enterprise. We'll review the current data gaps and how Tableau is helping fill that role in our self-service life cycle and helping us achieve our goal of being a data driven organization. We'll share some interesting stories of how we are using Tableau across the organization and the problems it's helping solve.
Did you know languages develop spontaneously? This session covers how data visualization is developing into a language. Supported by the natural means of VizQL (Tableau's visual query writer), a real language is evolving from new practices in visualization. More than just 'do' or 'don't', you can take away from this session some ideas about grammar to produce more effective visualizations: No red pens or sentence diagrams required!
Some questions to be answered:
- How does placement of charts affect your dashboard?
- What 'hacks' are there in spacing that create a better viz?
- How much does color matter, and how much SHOULD it matter?
- What can fluency in this language look like?
Human Capital began a massive overhaul of the OCC's hiring process in January 2016 after leadership identified "matching our workforce with our needs" as the number one risk to the agency. The process has included an analysis of the current state of hiring, the implementation of a robust staffing log to track requests and workload, and the development of reporting tools, made available to both HR and external customers. In this session, we’ll share our process improvement journey. You’ll learn how we established a baseline, proved and disproved anecdotes, innovated and collaborated, and what’s next in our long term plan.
The advent of the digital world and the Internet of Things has opened a whole new playing field of vulnerabilities and complex fraud risks. While most organizations have remained focused on external threats, the insider threat posed by employees, contractors and third-parties with access to an organization's IT systems presents one of the foremost fraud and information security concerns. Many organizations have made great strides in combating external cybercrime and cybersecurity fraud risks, though tackling the threat from within requires a new way of thinking and visualizing data.
We will first explore the process of using visualization to identify an organization's digital "crown jewels" and effectively understand the insider threat. We will then turn our attention to effective strategies for managing this threat, often blending multiple data sources and tools in new ways using Tableau. We will explore tangible ways in which our investigators and clients are leveraging Tableau to effectively prevent, detect and control these risk areas for organizations of different sizes and risk profiles. Through our session, we will deconstruct several real-world examples and highlight best practices and pointers.
In the game of fraud, all (relevant) data must be analyzed. According to the ACFE's Report to the Nations on Occupational Fraud and Abuse: the typical organization loses 5% of revenue in a given year as a result of fraud. Fraud may be big business, but so too is big data as a means to combat incidents of fraud.
Most organizations, regardless of size, will experience some type of fraud during the course of their business. These same organizations likely store many volumes of data that could be leveraged to combat incidents of fraud. In this session, we will explore the fundamental definition of data and its relationship to fraud. We will then explore how data analytics, or in this case fraud analytics, can prevent, deter, and detect incidents of fraud.
Tableau has ushered in a holistic way of defining our member's journey across digital, mobile, call center, and VOC platforms. Through integrating these desperate data sources in Tableau, it has provided key insights that have helped us determine the impact of our digital/mobile channels on our call channel, how our customers are solving their problems via self-help on our digital/mobile channels, and identify the key drivers for increasing customer satisfaction on our digital/mobile channels.
In this session you will learn how Tableau has become a vehicle for driving member satisfaction through profit and revenue maximization; triangulated with cost minimization and risk neutralization.
Implementing business intelligence takes more than convincing an individual, it takes changing the way a company works. Building out a successful program can make the difference between a failed implementation and successful, enterprise-wide adoption. In this session, we'll show you how to build a successful BI adoption strategy from the ground up, or modify your existing strategy to gain executive and enterprise-wide adoption.
We will coverer the following topics:
- Showing Value: Why do you need BI?
- Data: Turn bad data into your BI successes
- Deployment: How to right size for your organization
- Training: The who, how, and when of setting up a training program
- Enterprise adoption: Turning users into advocates
Tableau has helped our sales organization evolve how it uses data to make strategic planning decisions and execute on the robotic surgery opportunity. Three years ago, we introduced our first Tableau dashboards to the SVP of Sales Strategy with tremendous positive feedback. Today, each of our 800+ sales professionals across the company uses Tableau on a daily basis to garner insights into their business.
In the early days, real-time data was great, and we would print the dashboards onto PDFs and email them to our sales executives. Tableau was a much quicker medium for analysts to access live procedure and revenue data compared to our manual Business Objects and Excel reports we used previously. We started moving interactive dashboards onto Tableau Server, and executives from sales, marketing, and finance starting using them to dig deeper into the data. Our organizational voice became more relevant when executives were contemplating large strategic decisions. We could frame the data in ways that we could have never done before and were increasingly being called into meetings for real-time analysis as decisions were being made.
We decided to invest into Salesforce.com for our sales org. Because of our success with Tableau, we knew we wanted to keep it as our Analytical backbone. We ultimately decided to layer a number of Tableau dashboards into the SFDC canvas. We then went through a rigorous training with our 800+ sales folks on Salesforce.com and Tableau. The adoption of the dashboards has been a tremendous success. Never before have our sale reps had so much real-time information about their respective businesses at their fingertips. And what's so great about Tableau is that as the business evolves, we can change these dashboards very quickly and without a whole lot of additional cost.
In this session we will dive into how the Netflix Data Engineering and Analytics team uses Tableau, Spark, Hive, Presto, and Redshift to deliver rapid analytics and insight. We will walk through a number of lessons that we have learned to stay agile and deliver quickly in a cloud big data environment with over 60 petabytes of data. We will also share our overall experience using Tableau to partner with our business users.
This session is also available at the following time(s): Thursday at 10:30 am
When colleges started coming to PayScale's editorial team asking for more information about their alumni outcomes, the HR tech company knew they had an opportunity to create an entire new product line. Naturally, they turned to Tableau, and with a few easy hacks were able to launch a revenue-generating product targeting a new customer base. In this session, learn how PayScale leveraged Tableau Desktop to increase data acquisition and revenue via automated PDF report creation. PayScale's resident data visualization expert will demonstrate:
- How to use Tableau Desktop to automate PDF creation for easy reporting
- How to make analysis more consumable to a large and diverse audience
- How we decreased report creation time by 85 percent
- How we increased the viability and marketability of a new product line with minimal cost
The California State University (CSU) system (comprised of 23 campuses) received over 914,000 applications for fall 2015, yet enrolled only about 16% of applicants. With over 300 higher education institutions in California, enrollment management offices have the big task of recruiting, admitting, and enrolling qualified students.
You will learn about how two CSU Institutional Research Offices joined forces to improve their enrollment management reports. We will demonstrate how we went from a static PDF report, to a dynamic Tableau workbook, to Tableau Server. We will show our unpolished data visualizations and final reports created for enrollment management.
In 2011, a small number of analysts began using Tableau to prototype new dashboards alongside the enterprise adopted BI solution. IT saw the speed and agility Tableau offered, and a unique partnership developed to push reporting capabilities further at Chick-fil-A. With support from IT, Marketing, and Operations, this small team of analysts was able to incite a movement (data to the people!), and they now serve as Tableau champions, hosting internal user groups, doctor sessions, and Development Days.
In this session, we are pleased to share our story of how we went from a couple of reporting analysts developing internal content, to a mutually-beneficial partnership with IT, supporting an enterprise roll-out of Tableau Server with a growing community of developers.
In this session, we’ll share the story about a data-driven transformation journey in a Catholic school system (CEDP) in Western Sydney, Australia. Our journey began in Feb 2016 as a collaboration between CEDP and MIP (a Tableau gold partner) to implement an Alteryx/Tableau solution at both system and school level. This self-service analytics strategy used a multi-lens framework to provide real time, mobile friendly access to innovative visualizations which generated powerful insights about students, cohorts, schools and the whole school system. The dashboards for teachers and school executives provided a robust platform for deep and holistic insights about student learning and school effectiveness. We’ll cover our lessons learnt, school and system responses from formal evaluation, and scaling up processes for latter part of 2016 after successful completion of our pilot project.
This session will detail how EDF Renewable Energy (EDF-Re) has adopted Tableau at an enterprise level to both report on and improve the performance of its renewable energy power plants. Specific daily and executive level dashboards will be demonstrated live, as well as ad hoc engineering studies in which Tableau directly led to engineering corrective actions and cost savings.
The overall data infrastructure behind Tableau will also be discussed, with emphasis on SQL Server to aggregate disparate data sources prior to Tableau consumption. Overall the session is designed to educate the audience on the use cases for Tableau within the renewable energy industry with live demonstrations, and comment on the success stories and challenges of enterprise adoption of the tools.
There are many custom map capabilities in Tableau including symbol maps, path maps, custom MapBox maps, and polygon maps. 2013 Tableau Iron Viz Champion, author of the 2015 Tableau Public Viz of the Year, and Zen Master, Ryan Sleeper, will walk you through how to make these maps and more. Along the way, you'll see the behind the scenes making of the" We're Not in Kansas Anymore" and "The Cost of Attending the 2015 World Series" vizzes to show how you can use these powerful features for your immediate benefit.
Let's face it, Tableau is pretty easy to use. Anyone with data can create a visualization. But not every visualization is good, and most can't tell a good story. The standard way to combat this is by documenting best practices and giving your developers a checklist to follow. But that doesn't always net the results you want, and it can hinder creativity.
In this session you will learn how Caterpillar was able to:
- Leverage the ideas of our teams to implement best practices that are not too constraining
- Integrate agile development practices into a visualization/BI work streams
- On-board new developers in less than 8 weeks, creating award winning visualizations
- Enable developers across the enterprise to use this same method for success
Where are you in your data journey? We often see organizations that have found immediate and significant value in Tableau within departments or business units. Changing the behavior of small groups often comes natural, but sometimes repeating that magic across an entire company is elusive.
In this session, we'll show you how to enable wide-spread adoption of visual analytics, all while still maintaining data governance, transparency, platform scalability and, - most important - without sacrificing the speed and fun inherent to Tableau. We'll discuss the pieces of a successful Tableau Center of Excellence, and show you real-world examples in action. Most importantly, we'll show you how to enable and empower the passionate people in your company.
Even a beginner can make a big difference! Learn how a Tableau novice at Intermountain Healthcare went from dashboard zero to dashboard hero. The dynamic simplicity of Tableau promoted efficient development of a dashboard that is already shaping the future of glucose management at Intermountain Healthcare. In this session, you will learn how Tableau, even in the hands of a beginner, can give you the power to make a difference. If you are new to Tableau or curious about the role of Tableau in a data-centered culture like Intermountain Healthcare, this session is for you.
Prior to Tableau there was no good system for sharing data between Cross Country Home Services (CCHS) and our clients. Even data insights were limited to static PowerPoint presentations.
After Tableau, CCHS used Tableau Online to share visualizations and data and Tableau Online Sync Client for database updates. Together these systems allowed for fluid, interactive, and updated communication between CCHS and their clients.
Come to this session to learn more about the client-vendor relationship in order to bring more efficient data management and strategic discussions to your organization. Attendees will also see how the unique Tableau Online environment enabled CCHS to create dynamic dashboards which would not of been possible on Tableau Server - dashboards that our clients love.
Honeywell is a Fortune 100 diversified technology and manufacturing leader, where we use technology to make our world more secure, connected, energy efficient, and productive. Honeywell purchased Tableau to enable agile self-service analytics and within months, was able to bring more than 4,000 users onto the Tableau server and have every function and business group within the Enterprise using Tableau!
In this session, we will share how we rapidly scaled a ubiquitous Tableau deployment across our complex organization globally.
Highlights will include:
- Seeding analytics and reporting across the Company
- Collaborative deployment model, IT and Finance
- Removing licensing barriers and deploying licenses effectively
- Building the support Infrastructure, including Community of Practice
- How we approached connecting to our plethora of systems
If we are going to accomplish our goal of inclusive excellence and college/career readiness for ALL students, we must acknowledge trends in our membership, program enrollment, assessment results, and graduation rates. Cherry Creek School District's student enrollment by race is changing. Dis-aggregating our trend data allows us to monitor progress of our goals and ensure ALL students have access to opportunities for success. In this session, we will cover the following topics and demo supporting dashboards:
- Membership trends with forecasting
- Public membership reporting
- Program/course opportunities
- Feeder system conversation starters
- Assessment trends
- Graduation trends
Managing on-shelf availability (OSA) at the national level, not just for Oreos but for ALL Mondelez products, is a monumental undertaking in Excel. If that wasn't challenging enough, there are many root causes behind low OSA: Store Execution and Merchandising, Ordering and Distribution, Manufacturing, and accurate Demand Forecasting to name a few.
It's also difficult to understand the inventory processes of the different retailers, e.g. Kroger, Target, Safeway, etc. To manage the volume of data and complexities of OSA, Mondelez leveraged Redshift and Tableau to integrate internal and external data sources and pinpoint tactical steps for our field force to execute. Join us to learn how we overcame the Big Data hurdle, improved order quality through more accurate demand forecasting, and applied agile methodologies to create effective Tableau dashboards which resulted in recapturing millions in lost sales.
As an early adopter of Health Information Technology and one of the nation's largest not-for-profit healthcare organizations, Kaiser Permanente (KP) has amassed a tremendous amount of health data over the past decades. Often, the data "request-to-insight" cycle serves as a bottleneck to achieving data-driven decision-making and program development.
KP is piloting an entirely new kind of meeting that is using Tableau to eliminate this bottleneck. A workgroup of clinicians and administrators at Panorama City Medical Center's Emergency Department (ED) in Southern California was tasked with developing a program to diminish unnecessary ED utilization. Rather than kicking off the first meeting with charts and graphs of static data explaining the overuse of their ED, the workgroup connected their ED data to Tableau and performed live data manipulation that enabled the clinicians and administrators to drive collaborative, on-the-fly analyses and visualizations. This resulted in the content experts rapidly testing hypotheses and quickly understanding which patient groups were the best targets for interventions, reducing the "request-to-insight" cycle from a matter of months to a matter of minutes.
In this session, we will discuss the principles and processes used by Kaiser Permanente to run effective, efficient, and engaging meetings using Tableau Desktop and Tableau Server as collaborative data exploration tools. We will cover the following topics:
- Exploration vs. Explanation: The value of using data visualization explore data collaboratively rather than just using data to create pre-defined explanations
- Processes for Live Data Exploration: The process used by Kaiser Permanente to prepare for and conduct meetings using Tableau Desktop and Tableau Server for collective data exploration
- Agile Business Intelligence: A live demo of a data exploration kickoff meeting, with Tableau Desktop connected to KP Emergency Department data
- Enterprise-Wide Adoption: Using this process to demonstrate high-visibility buy-in on the value of Tableau
Within Intuit’s TurboTax walls the mindset is simple, “Winners Keep Score”.
In the extremely competitive tax preparation industry, every minute matters as we make million dollar data-driven decisions each day and leverage Tableau for these actionable insights. It’s imperative that we have shared understanding of customer behavior across the organization to quickly make these decisions.
This session will focus on how TurboTax, the nation’s largest online tax provider, has empowered 600+ associates across their organization to continuously keep score and stay on track to help the company achieve double digit customer growth year in and year out. The use of Tableau has enabled the TurboTax organization to answer their most critical business questions at the speed of thought giving teams the ability to think, act and deliver in real-time.
During this hour we will focus on the lessons learned along the multi-year evolution:
• Evolution from 5 analysts with Tableau Desktop to 600+ associates using Tableau Server across our Consumer Tax Group in 2016
• The importance of getting leadership support and “buy-in” at the most senior levels within the organization, which resulted in constant use by our management teams
• Training methods to successfully on-board 200+ new users each year
• Best practices to ensure consistency in analyst interpretation across the nearly 1,000 Tableau workbooks used
• Standardizing a straightforward user interface to speed up adoption and behavior change across the organization
• Shadows of self-service…while the benefits far outweigh any of the shadows, there are things we have learned along the way that will be helpful for any organization striving for enterprise wide adoption
In this session, find out how at Werner Enterprises, we are using Tableau to tap into the source data to build custom views across the company - and how we’re using digital signage to broadcast a consistent message to its offices across the globe.
- Get me the data: how business and IT maintain a relationship dedicated to taking care of business
- The right tool in the right hands: identifying the analytical operational mind
- Full buy in: business Leadership uses real time data via Tableau to find out answers
- World-wide broadcast: telling the masses with Tableau and digital signage
United Rentals has 5000+ contractual agreements with its largest and most valuable customers. These agreements are primarily maintained by the sales team of 2000+ sales professionals who utilize Salesforce.com as the primary CRM platform. In addition to SFDC the sales team is also heavily dependent on internal data that is used to analyze and construct contractual agreements with its customers. The process of adequately analyzing agreements, tracking approval flow and finalizing agreements within the ERP system was lacking and inefficient at best. The difficulties in the legacy process led to reduced productivity, less than adequate analysis, and in some cases loss of revenue and ultimately profitably.
As a solution to these issues, we integrated a cloud-based Tableau reporting solution within the Salesforce.com platform, leveraging Tableau's Sparkler framework. This new solution provides increased efficiency and improved analytics leading to better decision making and profitability. In addition, the efficiency of the decision making process and approval flow has improved dramatically leading to increased selling time for the sales teams.
We will cover the following topics during this session:
1) Strategy: selling the efficiency and value that can be delivered via a custom Tableau and SFDC solution
2) Proof of Concept and Capability: live demonstration of the analytics solution containing Tableau dashboards integrated within SFDC platform
3) Technical Architecture: high level discussion on architecture of the solution
4) Delivering the Value: illustration of how the final solution improved decision making, and increased efficiency throughout the organization ultimately leading to value creation for the organization
Have you ever wondered what AWS means? How about EMR, S3, EC2 or Redshift? In this session, you will learn some of the key Amazon Web Services terms and acronyms withing a familiar context.
This presentation will explain in a simple, understandable way, how to use Amazon Web Service to build and deploy a data mart in Amazon Redshift and attach to Redshift as a data source from Tableau on-line or desktop.
You will also learn the criteria the Expedia global payment team used to choose Tableau Online, over other products.
Tips, tricks and best practices for optimizing Redshift for use with Tableau will finish the session.
This session will tell the story of first two years of Tableau at RueLaLa - what we did well, what we would have done differently, and how we’ve adapted to our growing needs.
- How we rolled out across 200 users with very wide range of data literacy and limited resources
- Increasing interest through powerful visualizations (in a land of Excel sheets)
- Creating the right data at the right level of detail
- Naming standards and workplace organization
- Moving beyond data in the enterprise data warehouse & delivering now
- Connecting Tableau to Snowflake
- Finding the best tool for the job
- Creating dashboards using live queries and online sources
In 2015 and 2016 MedStar Health had two seemingly competitive activities underway: pockets of individuals using Tableau, and the establishment of a group to inform an enterprise-wide analytics strategy centered on a single version of the truth. Among those using Tableau were individuals in MedStar Health's Institute for Innovation (MI2) experimenting with specific point solutions. In the end the two groups came together to develop a strategy based on Gartner's paper 'How to Architect the BI and Analytics Platform'.
In this session we will share our discovery process from isolated knowledge and use of Tableau to merging with the enterprise-wide strategy and evolving the culture of data & analytics to support data-informed decision making. We will discuss grassroots strategies for increasing knowledge and use of Tableau across the system, engaging executives to interact with the data rather than static reports, the process and benefits of establishing standards and applying a product development approach for building and maintaining dashboards, and the challenges faced in pulling data together and blending it from multiple sources.
Examples will include:
- Using Tableau to reveal successful patient recruitment strategies that were shared across the enterprise to meet a meaningful use requirement for patient portal interaction.
- Using Tableau to monitor clinical quality performance and identify opportunities for improvement, replacing an antiquated, static, and manually resource intensive 300+ Excel report that presented six infection control metrics for our 10-hospital system.
Deep Root Analytics is a predictive media analytics company. The challenge we faced was not only how to provide our clients with the tools for actionable insights, but also how to monitor and grow our proprietary multi-sourced data management platform, housing more than 20 billion rows of raw data.
In this session, we will explore how Deep Root multi-purposes Tableau in the following ways:
- Primary Client Interface: providing our clients with planning tools to help inform buying decisions, and show them near real-time updates about their and their opponent’s advertising
- Internal Business Intelligence and Product Quality Assurance – using Tableau for internal BI, sales, and quality assurance
- Marketing & Reporting Platform: using Tableau to share insights about the changing media landscape
The Research and Data Management team at Des Moines Public Schools proudly empowers those that make a positive difference in the lives of children. Critical decisions are being made daily that impact achievement, teaching, and learning in every school district. In this session, we’ll show you how Tableau provides the tools to make informed decisions, improve student achievement, and enhance programs focused on at-risk students. We’ll inspire and help you understand how to provide your stakeholders with data needed to implement early intervention for at-risk student and enhance student outcomes.
Although Stanford occupies a central place in Silicon Valley, we have struggled to flexibly integrate data about the university itself into our understanding of who we are, who we are educating, and what impact a Stanford education has on our students and alumni, like many universities. In this session, we’ll share some of the emerging Tableau data vizzes and dashboards Stanford institutional researchers are using to incorporate agile, self-service analytics into assessing the university and conveying our findings to campus leaders. We’ll take a look at why we chose to adopt and deploy Tableau server, how visualizations are more than pretty pictures and can effectively influence campus decisions, and what key speed bumps and roadblocks we’ve encountered along the way.
The Art Institute of Chicago, one of the world’s pre-eminent museums, has undergone a transformation in applying data for decision-making. Central to this is the communication of complex, quantitative concepts in simple, qualitative ways using Tableau-based visualization. Over the past few years, we have extended our initial efforts on understanding attendance and membership to other aspects of the museum, including collections and visitor experience. Through these examples, you will learn methods to communicate analytic concepts to novice audiences, manage through cultural change, and scale efforts within a resource-constrained organization.
How to best leverage big data is something that all companies are trying to solve. EMC is no exception to this. However, the innovative Tableau solution that EMC business teams have implemented today are allowing analysts, business users, and executives to leverage big data in a way that is turning analytical dashboards into revenue generating products. This session will present how a major EMC business organization is leveraging Tableau and injecting innovation to solve the customer demands of data analytics through visualization.
Tableau is the new face of data and information strategy at AmeriPride – from front end users to a full back-end information stack transformation.
In this session we will touch on the following topics:
• Tableau's ability to highlight data gaps for governance to take action
• Communicating insights through smart visualization design
• Enterprise adoption and Organizational Change
• High Performance data
Furthermore, we will also share how we’ve leveraged Vertica to build dashboards on hundreds of millions of lines of granular data, enabling fully interactive hierarchies so the CEO can use the same report as a field manager.
This presentation will provide an overview of the ways in which Aurora Public Schools (APS) combined data from various sources into dashboards to support front-line school staff at one of the more at risk school districts in the state of Colorado (71% of APS students receive free or reduced price lunch and 36% are English Language Learners).
We will present an outline of the data model and subsequent creation of a data warehouse, as well as highlight Tableau successes. We’ll also demonstrate dashboards that show: attendance, behavior, and academic achievement data (including literacy assessments, state standardized assessments, and quarterly grades), and geographic data.
"Continuous improvement is essential to achieve our safety goal, which also happens to be our vision: a workplace where 'Nobody Gets Hurt.'" - Rex Tillerson, CEO, Exxon Mobil Corporation
In order to achieve our corporate vision and support our efforts for continuous improvement, Corporate SSHE has partnered with IT to develop a data warehouse to enable insightful analysis and self-discovery of SSHE data and trends. Our journey was dotted with complications and setbacks that ultimately made our understanding of data warehousing and Tableau stronger and strengthened the relationship between Business and IT.
During this session, you will learn how ExxonMobil Central SSHE and ExxonMobil IT by:
- partnering together to scale Tableau Server and build global Safety Health Environmental Data Warehouse
- implementing themes from User Centered Design (UCD) to build Tableau visualizations for 90k+ users across various levels of the organization with differing data needs
- developing custom admin views to analyze usage patterns and identify useful visualizations for development of future visualizations
We are all familiar with the story of the tortoise and the hare - slow and steady wins the race. Changes in a university environment happen slowly. BYU adopted Tableau in 2013. We had to find a way to guide our management from guesswork to data-driven decision making.
How did we do it? We let Tableau speak for itself through interactive visualizations. Along the way we had to shed some inefficient practices using the principles of Tableau Drive. Data silos had to be torn down, single source of truth had to be evangelized. Learn some of our successes and failures and how Tableau led to some significant changes in how we help students. Let's just say the tortoise isn't going to win this race!
Tableau is all about keeping users in the flow, but what happens when you have explosive growth on the enterprise scale? Learn how Comcast created an entire ecosystem to support the community of users after implementing a 40 core high-availability server that houses over 100 sites.
This session will cover how the following tools are leveraged to support thousands of users with minimal resources:
- Tableau Center of Excellence (COE): best practices & information hub
- Custom applications for license management and push reporting / - PDF Bursting
- In-house training capabilities
- Doctor days and internal conferences
- "Jedi Academy" to create a pipeline of super users
Here's your chance to see a Tableau engine developed in GM's Advanced Analytics to power adaptation of data visualization and find new roads to data insight. This case study will show some practical examples on how to tune your own workbook engine to provide decision drivers with a winning dashboard. The OEM optional equipment package demonstrated in this data vehicle will show how to lay down some skid marks with the pages shelf and smoke Excel and PowerPoint off the starting line.
What if you aren't a Fortune 100 company with millions of dollars and teams of BI people to bring to bear? How does a small to mid size company or division get started? When time and money are in short supply, how do you get started with out much of either? Leveraging off the shelf tools like Excel, Access and SQL databases couple that with the power of Tableau Online and you can quickly ramp up to world class analytics.
Since we started using Tableau we have successfully transitioned several operational reports from massive Excel data files (that could not be used by operations) to visual and actionable reports.
The results include:
- Increased/improved communication between departments, our carriers and our customers
- More time for Operations to work on improving the supply chain instead of trying to analyze large excel documents
- A growth in the number of users in our organization.
There are two types of people in this world. The ones that see what you can do with web authoring, and say "Wow! This stuff is amazing! It is so simple to use, anyone can make reports, publish them on server and share with everyone, and even subscribe to it! Unbelievable!" And then there are Tableau Server admins who say "Are you kidding?? Anyone can do this? They can load up my server with content, scatter stuff everywhere, and eat up my resources with ridiculous subscriptions and visualizations. No way am I going to let anyone do this!"
At Sprint we have over 20,000 views on our server and over 60% of them were created via Web Authoring. In this session I will be going over how we allow the masses access to all the free vizzing madness they want, but keep the server performance in check.
• Permissions – how to keep the Web Authoring content separate from the seasoned Desktop created content.
• Content Purging – web authoring is a lot of trial and error and very few delete old versions.
• Subscription Monitoring – If someone makes a Web Authoring Viz subscribe to it, it sometime can be a resource hog. How to identify it.
• Usage tracking – Using Postgres to see if they are web authoring to just export the data to Excel? Seriously, why??
• Viz Performance Monitoring – After you find the bad workbooks and authors, use performance monitoring to fix the problem.
Building tools not just dashboards: Driving Standardization and targeted sales in an organization with thousands of clients and hundreds of thousands of products can be a daunting task. Ensuring Stakeholders have easy access to the greatest amount of information is essential to the most effective use of resources. Creating a culture of innovation and analysis is necessary to driving growth, especially within a Fortune 25 Organization. In this session, we will discuss our transition to Tableau and Tableau Server, how the rest of the organization was brought on board, what our use cases look like, and where we are driving to in the future.
In this session you will learn:
- The Business need: why we made the transition to Tableau
- Strategy: bringing stakeholders into the fold with interactive dashboards and tools allowing them access to levels of analysis they never had before through guided analysis
-How interactive dashboards can empower users to draw insights
- The tools themselves: how empowering stakeholders with information and guided analytics can drive stakeholder engagement and customer loyalty
- What's next: how we will continue to leverage Tableau to drive change in the organization.
For many, fashion is an art form, and Revolve has it down to a science. At Revolve, we adopted Tableau to analyze the trendiest clothes to promote and to explore the best presentation of our collections, all while defining these trends for social media savvy young women. Data visualization is an integral part of the data-driven approach to our rapid growth, with double digit revenue growth since 2012. In this session, we’ll share our approach for designing visualizations for model performance, homepage optimization, marketing strategy, and brand merchandising.
One of the most important lessons we’ve learned at Hallmark is that data is most powerful when it is shared. We also discovered that our analysts needed structured training opportunities to get the most out of Hallmark’s robust data sources.
Our Analytics Leadership Team spent 2015 building an advanced analytics curriculum to develop skills and build a community of expert analysts. Our successes with Tableau translated into a vibrant community of analysts that push Hallmark into the future of advanced analytics.
In this session, we’ll discuss how Hallmark used Tableau to solve immediate business problems and build a robust analytical community. Come learn about our approach to adult learning and how your organization can benefit from a structured training curriculum.
Over the last two years, users of our Tableau Server production platform grew over 500% to a total of nearly 30,000 users today! During this explosive growth, governance and best practices took a (temporary) back seat, and problems like extract refresh delays and hardware resource constraints soon bubbled to the surface. Enter the Wells Fargo Business Intelligence Competency Center! Join us to hear how we boosted the environment’s efficiency by establishing governance, best practices and optimization throughout the platform.
We’ll discuss a few aspects of our multi-pronged approach such as upgrading hardware, establishing controls for permissions and identity authorization, extract/subscription schedule optimization, and user education focused on performance best practices. Finally, we’ll discuss the many methods the Wells Fargo Tableau BICC employs to evangelize ways to make tenants successful with the platform, and help them connect with us and each other for support.
In 2015 the University of Kentucky created a new role to lead and manage decision support in the Office of the Vice President for Research. With a goal of enabling have real-time access to grant and contract data for use in decision making and strategic planning, we maintain a home-grown data system.
The session will walk attendees through the process of building a dynamic data infrastructure and the use of dashboards to better assist leadership with real-time access to grant, contract award, and expenditure data. We will also ask attendees to brainstorm best practices for reporting research data and what type of data analysis is important on individual campuses. Come ready to discuss among participants about what’s important, what has worked, and what hasn't worked.
As GoPro expands into content networks and launches new products, new sets of challenges appear. One of the most critical challenges facing GoPro during this period of rapid growth is their ability to make effective use of massive amounts of data.
In the past, it took GoPro months to understand new inbound data and determine how it needed to be transformed or augmented for analysis. To streamline this process, GoPro is creating an analysis loop, which informs product usage trends, and product insights. This serves a large ecosystem of GoPro executives, product managers, engineers, data scientists, and business analysts. And utilizes an integrated technology pipeline consisting of Apache Kafka, Spark Streaming, Cloudera’s distribution of Hadoop, with Tableau as the end user analytics tool.
Educators have access to more student learning data than ever before. Developing vizzes and dashboards that allow for real-time, efficient dis-aggregation of student performance metrics can help establish a clear picture of where students are in their learning, where they need to be, and how to get them there. In this session, you’ll learn how in less than one year a large public school district in Georgia grew their Tableau instance from one desktop pro license to a full-blown Tableau server implementation with over 200 users. We’ll share how Tableau can provide value-added metrics across grade spans in districts of any size, and how internal marketing strategies, dashboards, and locally generated metrics helped engage stakeholders in using Tableau to create economies of scale for sharing data.
The Credit Suisse Client & Content Technology for Global Markets provides research visualization, models, and analytics for 30,000 external clients. It also creates client performance decision support analytics and resource optimization for 6,000+ Global Markets Sales, Trading and Researchers, and delivers regulation, operational risk management, controls, and trader supervision.
Optum Inc., the technology and services wing of UnitedHealth Group, is revitalizing our approach to data and reporting with Tableau. We make the healthcare system better for everyone (including you and me!). An uphill battle like that requires an agile approach, especially at Fortune 11 company with a global presence, over 200,000 employees, millions of consumers, and 1000's of products that service both the public and private sectors.
This session will cover how Optum streamlines healthcare operations using Tableau and Optum-izing health information. We protect sensitive information but still democratize data to drive insights (and you can too!).
- Learn how you can deploy a virtual command center approach and tackle some of the operational challenges with sensitive information for deployment to 1000's of disparate stakeholders.
- Hear about how Optum's Enterprise Reporting and Analytics team manages tens-of-thousands of requests for Tableau development both for internal stakeholders and external clients across over 1,500 desktop licenses!
- Finally, see some of the cool visualizations we use and learn how those are impacting the health system for the better.
New display technology is allowing users to interact with data in exciting and immersive ways. Whereas the focus of many organizations is 'miniaturization' of dashboards to fit on mobile devices, this presentation focuses on the development of 'big' visualizations for 'big data.' Using touch and gesture tracking projector technology we provide examples of dashboards that extend up to 4000 pixels across 24 feet of projection. We will specifically review the technical details to develop dashboards in Tableau that fully utilize the capabilities of extended interactive projector technology.
The Bill & Melinda Gates Foundation is a data driven organization, from investments in U.S. education, to development projects in Bangladesh. The appetite for data is just as strong with regards to our people data, with C-level management and their chiefs of staff, as well as HR leaders, relying on accurate, current and historical data views to inform decision making.
As a Workday client, our HR Analytics team has built upon that great platform, surfacing data in Tableau and adding value beyond what is easily visible in the native environment. Our dashboards focus on many common workplace needs, such as headcount planning, career movement, recruiting and workforce planning.
In this session, we are pleased to share our need and solution for standing up a self-service business intelligence (BI) culture among our Cross-Division Chiefs & HR leaders.
- Innovative Integrations: extracting, preparing and surfacing Workday, Brassring, Outlook and other data (soon with Alteryx) to provide current and historical insights
- Design & Collaboration: dynamic insights and dashboards, as well as the essential role of thought partnership with, and educating, business experts
- Let me see!: live demonstration of the structure of our Workday data feeds and Tableau HR analytics dashboards, embedded in SharePoint Online
- Our roadmap: the next steps envisioned in our long term plan, including more frequent refreshes with the addition of Alteryx
In this session you’ll l learn how Tableau improved revenue management and provided operational insight for future forecasts at Kimpton. Within Kimpton there was a historic issue with fragmented data and reporting structures. Managers and leaders across the organization struggled to recognize future revenue risks and opportunities as they related to corporate and hotel forecasts.
Kimpton began to use Tableau as a solution to house all of the data and serve as the primary reporting platform to provide “real-time date reporting.”
The enhanced reporting functionality now enables leadership to gain valuable insight from high-performance data analysis across the whole organization (+10k employees). Answers are now available in seconds, rather than days or weeks.
Fast, modern and agile are not terms most people would associate with the large banks…until now. In this session, you’ll learn how Tableau was deployed globally at JPMorgan Chase, to empower employees across all lines of business and all levels. All while providing levels of control and the data governance expected of regulated financial institutions.
We’ll explore the journey of growing Tableau, see examples of how Tableau is being connected to a wide variety of data sources, and how we build engaging dashboards that communicate insights and tell compelling stories. Learn what contributed to our success, what didn’t work, and where we’re headed next.
There are over 42 million food insecure Americans today. Feeding America is working to end hunger through a nationwide network of member food banks. However, data to inform decision making and drive action is dispersed across the network. Our vision is to develop a comprehensive data strategy that enables data sharing and efficiencies across the country to drive our efforts to end hunger. We will discuss early wins with Tableau such as:
- Our Performance Dashboard
- Poundage reporting
- Disaster management
- Local data recovery opportunities
- Our path forward in data collection across the network
- Early learnings to create a data driven culture for sustained growth
Efficient Operating Room (OR) performance is a high priority as surgical services represent an important revenue source for hospitals. At its Celebration Health campus, Florida Hospital is employing a Real Time Location System (RTLS) to “see” what’s happening with every surgical patient—from registration to discharge—and measure the efficiency of its 11-suite operating room. With 14,000 cases annually and growing, there is constant pressure to increase efficiency and leverage capacity to the fullest.
Hear how Florida Hospital worked with Tableau Partner STANLEY Healthcare to use their RTLS-based Patient Flow solution and MobileView Analytics dashboards to track patient location and status, automate staff communication and provide metrics to quantify and continually improve operational efficiency and patient experience.
Data security is an essential topic nowadays, and most enterprise organizations have sophisticated data security models already in place. There are multiple ways you can achieve row-level security in Tableau, but why reinvent the wheel when you can leverage the existing database security processes?
In this session, you can learn the steps needed to configure Single Sign-On between Tableau and SAP HANA for database driven row-level security. We can accomplish this by using a combination of Kerberos for Tableau Desktop, and SAML for Tableau Server. We will explore SAP HANA and Tableau configuration settings, certificates, identity providers, and custom automated user provisioning processes. We’ll also review use cases for SAP HANA analytic privileges and demonstrate the steps required to connect to and publish secured SSO data sources.
The Wayfair Analytics team is hyper-focused on performance, as we serve 3 thousand internal end-users and provide them with the insights and visualizations they need to make Wayfair awesome. Some of our most business critical vizzes hit against 16+ billion records of real-time clickstream data and they load in less time than it takes you to sing "Everything's better, when it ships free."
In this session we will cover:
- Wayfair's strategy for designing visualizations for optimal performance and maximum intuitiveness
- How we enable fast on-demand customer segmentation against a 16+ billion record real-time dataset
- What's next on the big data frontier at Wayfair
Developing and implementing an enterprise demand management program that impacts all business groups and many of our 270K employees at Wells Fargo is a huge challenge. In this session we will share our journey on establishing an enterprise program focused on reducing third party spend and highlighting how data, analytics and reporting enabled by Tableau is helping us reach our cost savings goals. This session focuses on our journey, the value delivered and lessons learned along the way.
In the Madison Metropolitan School District, the Research & Program Evaluation Office provides rigorous and high-quality research and analysis to support district priorities. In practical terms, we help district leaders figure out what's working, what's not working, and why. During this session, we’ll outline how we’ve used Tableau in our district to fight five myths involving student demographics, measuring diversity initiatives, state accountability systems, monitoring infrastructure needs, and test score distribution.
In two year, with limited resources, Staples has built a large Tableau community – with more than 300 developers across 20 departments, with over 2000 active server users. This session will explain the success story behind enterprise adoption and deployment and the crucial elements for success. We will present our story, supported by examples of tools and our own developed Tableau dashboards.
You will learn about:
- How a roadmap strategy can set you up for future success
- The different building blocks to create a successful community
- Why a Tableau platform lead is a critical success factor
- Why we still need IT, although initially business thinks we can do it ourselves
- Tools and Expansion the next step in self-service maturity
Smith College is a private, liberal arts college for women in Northampton, Massachusetts. Major investments are made each year sending admission officers to high schools and college fairs across the US and internationally. Lacking an admission CRM, we’ve implemented a Tableau-based travel planning tool. In this session, we’ll demonstrate how using Tableau transformed the planning process of this investment from an anecdotal and impression-based one to an empirical one leveraging historical admission data. We’ll show you real-life scenarios faced by Smith’s Office of Admission, how these scenarios were addressed, and how using Tableau to examine past trends helped inform strategic decisions. Specifically, increasing student body diversity, determining the highest yield markets, identifying regions with highest qualified students, maximizing recruitment for full pay students, and planning recruitment travel in a new market.
With data transparency in the spotlight in higher education, it is important for leaders at ASPPH Member Institutions to have ready access to public health education data, to make critical on-campus decisions. Just four years ago, the ASPPH Data Center was tasked with expanding Member access to data, but our antiquated system of spreadsheets and static reports was often cumbersome and unreliable. Enter Tableau!
During this session, the ASPPH Data Center will share how we implemented a system of online data collection and analytics, while fostering a culture of data. By taking a strategic approach, we demonstrate the value of data in decision-making, and empowered over 600 academic leaders from 102 Member Institutions worldwide to conduct analysis of public health education data, develop reports, and share findings.
Implementing a robust S&OP process at Coke was a huge challenge, partly due to data availability and accessibility. Until Warren Glave came along and made the vision come true through leveraging Tableau's capabilities, it seemed nearly impossible. Join us and find out about our accomplishments!
Data democratization is one of the most important concepts in the business intelligence today, and is only beginning to be understood by BI managers. It seems like a simple idea. However, in practice , the democratization of data has been anything but easy to understand and achieve. In this session, you will learn about the process and strategies used to climb a democratic system of data and self-service analytics in the largest insurance company in Brazil.
It's easy to talk about actionable data but knowing when, where, and how to serve analytics content is often challenging. At New York Presbyterian Hospital, the Nursing and Emergency Departments partnered with the Analytics department to integrate patient quality data within the clinical workflow, allowing front-line staff to seamlessly access and act upon real time information to improve patient care. In this session we will cover:
- Planning: what lead to the need for Tableau Server integration with other systems
- Departmental adoption: Tableau Server integration into workflow
- Next steps: how Tableau can change the way clinicians document and interact with patient data
See how the #1 hospital in New York City and one of the nation's most comprehensive academic health care delivery systems is reducing barriers for our clinicians to access and create action around their data on a daily basis.
In this presentation, you will learn the process of building a parameter-driven "What If" tool that allows users to dynamically explore a statistical model created in Python. We'll focus on the modeling process, extract generation using the TDE API, dashboard design, and the derivation of business insights. We will also share alternative approaches and discuss challenges we faced during development.
The State of Ohio is amid an IT evolution, focusing on transitioning from custom software solutions to application based services. Along with this IT evolution, we continue to build trust, support, and involvement in its centralized Business Intelligence service offering.
In alignment with the state’s 2016 IT strategic goals, we purchased Tableau Server to meet the emerging agency need for data analytics. Please join us as we discuss this journey, share details surrounding the enterprise service built to meet this need, and highlight some of our key visualization success stories. One our many success stories is Ohio's Interactive Budget website. Built using Tableau, it shares the state accounting system with our citizens in an easy to analyze, fast, comprehensive yet searchable format.
Incremental/Uplift Modelling is a popular method of evaluating the success of business initiatives at Cineplex. Its effectiveness at measuring the change in consumer behavior over time creates a high demand to produce this kind of analysis for various departments in the organization. Due to the large amount of requests we receive, the "Incremental Lift Model" was developed to take in user-defined inputs, and output the results within a short period of time. The results then get populated and consumed within a Tableau Workbook that's published to our server. We designed the dashboard to not only visualize the output data of the model, but to also provide a dynamic and detailed description of how the model calculates the results. The overarching goal of this project was twofold; to minimize the amount of work required to process business requests while maximizing the output generated, and to develop a means of delivering the results in a consistent manner. Both of these goals contribute greatly to our ROI by virtually eliminating all time spent executing requests that come in, and by minimizing time spent meeting with business users to explain how the incremental lift model works and how to interpret the results.
In this session we cover the following topics:
1) What is Incremental Lift?: background information on the incremental/uplift study method
2) Purpose of an Incremental Lift Model: ROI of time saved/efficiency, value to end user
3) Data Prerequisites: what do you need in order to begin scoping out your model?
4) Tips on Communicating Results: how can you leverage the tools in Tableau to communicate your results effectively?
5) Demo of the App/Model: showcase an example of how the model process works
At Lionsgate, Tableau has caused an explosion in data sharing and collaboration. Teams are now sharing new findings with other departments and blending data from different sources for a more enterprise understanding of our products.
How did we get here? Attendees of this session will be given our keys to BI success.
At the highest level, attendees will learn about:
- Bottom up vs the top down approach to BI
- How to successfully build a data driven culture
- How to implement big data and have an immediate ROI
- How to rollout an enterprise reporting solution
- How to use POCs and training to build a Tableau following with your business
- How to implement a data science club
- How to successfully implement social media dashboards
A governance model enables knowledge sharing and collaboration, and removes roadblocks and "re-invented wheels." This presentation will illustrate the tenets of how McGraw-Hill Education built a data-driven culture through self-service analytics.
In sharing our journey, we'll touch upon:
-Cultural issues and emotions involved with enhanced data transparency
- The importanc self-enabling tools, a single access point, knowledge sharing and collaboration
- Advanced analytics on product portfolio clustering
Business Intelligence Competency Centers (BICCs) add tremendous value to an organization's business intelligence strategy, but public sector environments bring unique challenges to the implementation of a BICC model. This presentation will demonstrate how the State of Florida's Agency for Health Care Administration utilizes its BICC to enable data-driven decision making in a bureaucratic environment.
One of the most significant differences between public and private sector environments is the additional weight placed on government agencies to serve a diverse audience with competing needs. AHCA's BICC team will demonstrate a number of solutions created for its diverse audiences, including:
- KPI and Smart Measure performance dashboards created for high-level AHCA executives
- Tableau Server infrastructure designed to satisfy IT security and data governance requirements
- Tableau User Groups to train and collaborate with both internal and inter-agency Tableau users
- Data exploration tools for political task forces and special commissions on Capitol Hill
- Innovative enhancements of statutorily-mandated reports for the general public and data journalists
When our group adopted Tableau, we had inherited an environment where previous IT-driven data projects had failed and business groups had adopted individual solutions. These were a combination of manual data extracts, Excel macros, PowerPivot, PowerPoint, and human glue. On one hand this meant that groups were willing to work with us to improve their cumbersome processes, but on the other hand it meant they were often locked into an Excel mindset where creating a report always means seeing all the data.
In this presentation, we'll walk through two real-life (data changed to protect the innocent) examples of evolving an Excel spreadsheet into an interactive dashboard.
We will discuss:
- Helping people break out of their preconceived notions of what data should look like (maybe a table isn't the only answer?)
- Getting people to admit what they actually "do" with those Excel spreadsheets (what is in all those hidden tabs?)
- Convincing people that it is worth their time to learn a new tool (isn't one-click filtering cool?)
- Drawing a polite line in the sand on what you will and will not implement (I will not color every cell in this table, is there a threshold at which values require action?)
- Building a consistent brand (don't worry, the VP/CEO/your boss uses dashboards which look and feel very similar to this every day.)
At the end, you should have a strategy to help people who can't immediately grasp the advantages of a tool like Tableau over their trusty Excel spreadsheets.
Tableau does a ton of fantastic stuff that can make your organizations reports waaaay better, right? But what if your audience doesn't want to change the world and is content with PDFs and PowerPoints? This session will take you through one analyst's journey of introducing Tableau to a financial services environment that was either reluctant or downright resistant to the democratization of data that visualization brings... This session, for anyone who deals with data inside the context of a cautious and risk-adverse environment, will take you through some tips, tricks and best practices for deploying and growing Tableau within , including the tactical use of Tableau's features as breadcrumbs in order to have even the most hesitant executive coming to you for more dashboards!
The story of the Reviz Project is a collaborative effort started by Nelson Davis, Alex Duke, and Matt Chambers, with a goal to focus on ways that people could be moved by stories told with data. Knowing that when you put the two together, you multiply the effect of both. The project seeks to take a common data set and have its story told in at least three different ways. The goal is to change the way we look at the world and the way we look at data, and to see the humanity in both.
This session will focus on some of our favorite stories from this project, ways we pushed Tableau beyond what was possible, and what lessons we've learned about storytelling that we apply to our day-to-day work.
In 2014, the Coca-Cola BI team presented "Providing Open Happiness through Business Intelligence and Tableau at Coca-Cola" at the Tableau Conference in Seattle. As an organization we were just beginning to make strides with Tableau as our primary reporting and analytics tool, as well as Tableau Mobile for our sales teams. During the conference we presented our road map from our inception of tableau and how we strategically approached reporting. We left the conference feeling very accomplished and successful based on the feedback. Unfortunately, a few months later we hit some major roadblocks with Tableau. The enthusiasm of the new tool slowly promoted bad decisions, as we attempted to pile metric after metric into dashboards and consistently blended multiple data sources to provide a "one stop shop." Our dashboard went from 5 second clicks to 30 seconds, dashboards on mobile devices began to corrupt and crash, with no accessibility from the field, and the organization had lost faith in the tool and our reports to the point where an Executive Vice President pulled me to the side and asked how we were going to fix it. Our story, two years later, is to provide details on how we approached this dilemma and share our knowledge with the Tableau community. Many companies have had similar struggles as they adapt their company to a new tool. We will provide a roadmap to not only share our learnings, but to also give guidelines to take full advantage of the tool and resources in the business community. We are going to discuss the actions below, taken to remedy the issues we encountered: - Consult a Tableau representative - Evaluate your data sources (custom queries, views, extracts, cubes) - Use the most efficient calculated fields - Optimize data extracts - Make dashboard simple but impactful - Let your data sources to do most of the work - Don't be afraid to hire an expert!!! - Tableau is visualization tool, make it clean, make it simple - Tableau trainings at TC15 - Performance improvement with Tableau upgrade from version 8.2 to 9.1 - Better practices and insights from Tableau user groups and Tableau forums
How do you harness the momentum released by early wins and direct it into building data visualizations as a business competency across the enterprise? When looking for other success stories to answer this question for a large, geographically dispersed, publicly-traded company, we discovered there weren't any quick-start books with a tried-and-true road map.
This session provides an overview of the challenges we faced and the key decisions and activities that helped to launch the development of data visualization as a business competency at Scripps including:
- Understanding the audiences, processes, and approaches that are required to succeed
- Models for adoption and growth
- Developing business support in the enterprise and IT
- Analyst competency development
- Internal marketing and advocacy communications
At the University of Michigan Health System, our Fast Analytics Team has been confronted with the challenge of delivering self-service visual analytics to enhance productivity and efficiency with modest resources and budget. The key to our success is the ability to nucleate efforts with a modest investment in Tableau and grow the deployment over time, based on measurable improvements in knowledge, worker efficiency, productivity, and business process performance. In this session, we’ll show you how the Fast Analytics Initiative is eliminating thousands of hours of "spreadsheet wrangling" and busy work, vastly improving reporting/analytic decision making through delivery of actionable insights, and enhancing cost savings across the University of Michigan Health System.
Come learn firsthand the impact Tableau has had at DISH Network, directly from the team that implemented it. In this session, we’ll explain how we came to use Tableau, touch on the data that we collect and report on, and focus on two powerful techniques we repeatedly use to empower users:
- Tools: Integrating data collection on dashboards using SurveyGizmo
- Flow: Allowing dashboards to work together using URL variables and embedding links
This discussion will illustrate how the federal government is leveraging data to drive decisions making. We will discuss how data visualizations are used to help organizations find the “needle in hay stack” that could make a big difference in key performance metrics. In particular, we will look at some ways we are using real property and acquisition data to inform both policy and management decisions.
Do you want to enable your business leaders to make data driven workforce decisions quickly and effectively, without having to combine multiple sources in Excel? In this session, you will learn how VMware enriched their workforce data by combining external recruiting, equity, and financial planning data by leveraging Workday Big Data Analytics to create a consolidated, robust, and high quality data source for Tableau visualizations. Enabling business leaders and HR business partners to make data driven people decisions.
A growing problem for our users and our organization was the slow development of pulling multiple datasets in one dashboard. Managing changes to workbooks was too cumbersome and slow to develop and test. This caused a loss of interest because development was too so slow, and when a workbook was completed there was a significant hit to performance due to the large amount of datasets in one workbook. To attempt to alleviate this issue, we needed to create dashboards for specific users pulling from multiple datasets across multiple platforms, all in an environment that would allow for rapid development, roll-out, and customization.
This project needed to completely integrate with Microsoft SharePoint, the platform we currently use as our internal and external portal. From the start, the goal was to keep it simple. We began by creating a standard for a single workbook to have multiple dashboard views with a standard set of filters. We then created a database structure to assign and build JS tags with predefined filters to be rendered on a single page. This allowed us to create a shopping cart of data visualizations for our end users to choose from to add to their own custom dashboard, as well as filter down to what they applied to the view. Finally, we built templates for quick roll-outs of dashboards for end users.
Since converting to this dashboard framework, we've seen our adoption increase dramatically. Before the roll out of SharePoint Dashboards, we saw an average of 1,000 views per month. Since implementation of our new Dashboards in February, we are now seeing an average of 14,000 views per month, with a peak of 16,000 in March. Our Dashboard meetings have started becoming more interactive and well-received with our end users. Users are showing more interest in becoming publishers rather than just consumers now. We are seeing early on, company-wide behavioral changes. Workflow is starting to change. More and more, business decisions are being driven by data visualizations, increasing the speed of development. Our users are no longer intimidated by, or uninterested in, the management of data. They're becoming more interested in engaging with the data and have expressed more concern about the data quality. So far we're happy with experience being reported with the new dashboards, and look forward to future development.
The future of retail will look very different than what we are accustomed to. Learn how Belk is using Tableau to visualize data and identify opportunities in this ever-changing industry. As the industry pushes away from brick and mortar stores into the omnichannel world, it is crucial that an organization is able to optimize assortments and ensure efficiencies in the supply chain.
Belk is a family-run department store retailer with a proud history. With 300 stores throughout the Southeast and a booming eCommerce business, we are well positioned to meet our customer wherever they are, whenever they want to shop. Learn how our corporate culture is shifting to embrace new insights from analytics.
The Minnesota Department of Human Services is the largest state agency in Minnesota, with more than 7,000 employees and approximately $12 billion in annual revenue. Tableau's robust visualization engine, dynamic features, and ease of use is empowering our business users to more fully understand the cross program relationships' impact on clients and is dramatically improving the Minnesota Department of Human Services' (DHS). We’ve moved toward a "people centered" service delivery model by showing data across all human services programs and multiple enterprise data warehouses, creating insights that DHS never thought possible. In this session, we’ll show how growth of Tableau at DHS over a year has created new insights in government policy and practice, revolutionized the delivery of service, and created new data governance practices.
LyondellBasell manufactures products at 57 sites in 18 countries with 15,000 employees. In this session, we will share our year one journey and lessons learned on an aggressive path towards enterprise self-service.
In this session we will cover the following topics:
- Strategy: how we started, why we selected Tableau, our early wins, and our road-map
- Innovation and collaboration: overview of our comprehensive training program and business engagement to build momentum for the program
- Turning vision into reality: live demonstration of some of our cool Tableau dashboard.
- Business partner perspective: a business partner describes their perspective on our program, how they gained benefits from Tableau, insights and learnings about self-service from a business champion's perspective
- Lessons Learned: challenges we had to overcome, what worked really well, and key adjustments made along the way
- What's next: the next steps envisioned in our long term plan.
In this session, we'll focus on data visualization's role as a vehicle for discovery and communication in EverBank's digital marketing team. We'll demonstrate a set of exploratory dashboards designed around EverBank.com's search data where content developers can analyze search strings, categories, and navigation paths. This session will also cover the redesign of EverBank's online account opening system, where Tableau dashboards helped to make the case for this project and provided a framework for measuring the system's effectiveness before and after launch.
Well-designed Tableau dashboards allow end-users to interact and drive analysis of data in a visually stimulating environment. The Tableau Server enables sharing such dashboards to a much larger audience. R-integration allows the dashboard designer to write custom R scripts enabling complex regression analysis.
Stephen demonstrates how the FDIC is envisions using R-integration on their Tableau Server to allow interactors to drive their own visual and statistical analysis, and share best practices on how Tableau users can integrate R into their own dashboards. For this session, Stephen will show how Tableau and R together create a powerful tool for statisticians and non-statisticians to analyze data, using the FDIC's 2013 Survey of Unbanked and Under-Banked Households. Stephen will provide detailed examples and best practices to help those unfamiliar with the R environment, including R-scripts for debugging, multiple regression (OLS and Logit), combining multiple R-queries in a single calculated field.
Learn how to leverage dashboards to identify opportunities for improvement within an organization, either on an individual level, all the way to entire divisions. We have been able to provide leaders within our organization with simple reports that allow them to drive positive change and see their opportunities to fix issues and coach associates. By providing interactive dashboards, our leaders can pull their own information and don't have to do any manipulation other than selecting a few filters to make decisions and drive change. Attendees will learn to construct simple dashboards and reports that will help identify which metrics drive the key performance indicators and how to target opportunities for improvement.
Today's changing risk environment has set us on a path where the proper use of data analytics and data visualization are becoming critical to any high performing organization. Increasing volumes of data, multiple enterprise data sets, numerous controls and more complex fraud schemes all require the greater use of technology in order to properly analyze all the enterprise data in an effective and efficient manner. Traditional risk identification techniques have worked well in the past but changes must be made to allow an organization's risk team to keep up with the increasing complexity of their organization's electronic footprint.
Data analytics and data visualization are quickly becoming critical components within many risk functions of an organization. The Board, Internal audit, the Controller's office and the C-Suite are all looking for data-driven decisions that are based off of the continuous monitoring and continuous auditing of enterprise data. An organization's risk staff can use mathematical optimization of audit schedules, automatic notification of high-risk data elements and predictive and prescriptive analytics to enhance their ability to reduce corporate risk and drive operational improvement back into the business. These techniques help an organization see, prepare for and adapt to changes within their business environment.
During this sessions, you will see how Tableau can help your organization;
- Perform more audits with less resources
- Identify which entities should be audited and how the audit should be scheduled
- Quickly identify and risk-rank high-risk elements within your organization
- Effectively use all available electronic data and eliminate statistical sampling
- Develop more data-driven actionable insights to reduce overall corporate risk
- Utilize statistical functions such as correlation coefficients and liner regressions to help identify a vendor or employee that may, in the future, perform a high risk act.
Organizations that utilize data analytics and data visualization within their risk functions are able to much more effectively gain insight into business process controls and quickly identify high-risk transactions, vendors or employees from within an increasingly complex data environment. When done right, analytics will allow the risk group to better understand the risk profile of their organization, be able to make better data driven decisions when it comes to risk and provide answers to the Board and the Executive team about not only what is happening within the organization now from a risk perspective but what might happen in the future.
With Tableau, it’s easier than ever to build data visualizations, but developing great dashboards that people actually want to engage with is another story. In this session, we will demonstrate how we integrate Lean Analytics concept into our design process and constantly use data to create engaging dashboards.
We will cover the following topics:
- Data visualization at Twitter: We will briefly walk you through how we use data visualizations internally and externally to make business decisions and understand user behavior.
- Design process for data visualization: We will go through one example and teach you how to design a dashboard that your business stakeholders will love.
PAREXEL Informatic is a leading Clinical Research Solutions Provider. In this session, we'll discuss how we embedded Tableau at the heart of our MyTrials Analytics product. We built a platform to enable multi-tenanted Tableau Server dashboards to be accessed by clients all around the world using a single sign-on platform. These dashboards have a degree of customizability, allowing different clients to see the same dashboards in different flavors, with global filters operating between dashboards. The session will cover what we wanted to deliver by embedding Tableau, the challenges we faced when building this platform and how we overcame them.
Your organization has deployed Tableau Server. Is it stuck on cruise control? What is the level of consumption for your Tableau User Community? How many are using it effectively and/or efficiently? It's time to step (kick) it up a gear. This presentation will provide you the utilization formula that will make Tableau Server more powerful, persuasive, and personal.
Care and feeding of the Tableau user community is fundamental to the effectiveness of GM's implementation of Tableau, and is essential to deriving value from the Tableau investment. This is accomplished through focused utilization efforts aimed at our community groups of authors (power users) and consumers. Authors improve the delivery of published content when they leverage tips and advice in design, development, and performance testing. Consumers increase the value add when they learn to personalize options that fully leverage productivity features of Tableau's GUI.
At First Tech Federal Credit Union, our small digital analytics team is focused on how to really translate business insights into actionable insights where member facing teams can have data driven intelligent conversations with members. Learn how Tableau was integrated into core fabric of business applications, driving actionable insights such as offering next best action and/or next best offer.
Learn how the Inova Translational Medicine Institute (ITMI) is leading path-breaking innovation in Precision Medicine by mapping clinical genomic data from new born children with healthcare informatics. They are able to proactively identify biomarkers for personalized treatment, assuring superior outcomes and healthier babies. ITMI is leading with the integration of genomic data with patient information from their EPIC Electronic Medical Record (EMR) to deliver unprecedented health insights, leveraging visual analytics from Tableau Software.
This presentation will present real world case studies on the impact of these genomic health insights to enable proactive and personalized treatment and better outcomes for newborn children, with significant implication for precision medicine medicine and personalized healthcare delivery going forward.
Automating reports? Building new dashboards, converting the old and standardizing it all for your enterprise? Are you innovating? Making a difference in your business process? Delivering to mobile? Frustrated with resistance to change? Learn three critical lessons from PNC Bank's BI team to transform your reporting and analytics environment, setting executive managers and individual sales people free to generate more profit. Topics will include: Getting the content right, managing focus groups, the importance of a "Tableau lab," overcoming "first viz shock", change management, making maps meaningful, geocoding tricks, using Google Analytics, engaging Tableau Professional Services, and using the API to build portal components needed for success.
Note: Content is still being added to the schedule. Sessions, times, and locations are subject to change.