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This informal gathering is a chance for you to connect with other Tableau users in the same business and see and hear what other people are achieving by using Tableau. During the meetup, you’ll have time for general networking and more in-depth table conversations.
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
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
PepsiCo partners with the country’s biggest retailers, importing huge volumes of shipping, inventory, and POS data to forecast sales. Quickly and accurately visualizing this data to inform our retail partners of sales trends and the impact of promotions is critical to maintaining transparent business relationships with them. In order to accelerate time to insights, we developed a streamlined big data strategy that leverages an enterprise-wide Hadoop data processing platform, data wrangling solution (Trifacta) and data visualization application (Tableau) to scale existing operations. We can now understand and structure data in record time, with overall reporting build time dropping an astounding 90%. This allows us to dive deeper into Tableau, create faster and more accurate data visualizations, and focus on data storytelling instead of piecing that data together. Come to this session to find out how we did it.
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.
Today’s retail environment has changed when it comes to opportunities to engage with customers - and millennials are a driving force in enabling new ways to connect, communicate and shop. Delivering a customer-centric experience can increase profits and allow retailers to take advantage of the digital economy, but getting it right is a challenge. Join leaders from Kohl’s and Deloitte to hear how Kohl’s is taking on this challenge by utilizing Tableau to deliver valuable customer insights to their teams. In this interactive presentation, we’ll share the concepts and example dashboards that help Kohl’s see the story in their data. Don’t miss out on this informative and insightful presentation that can leave you with new ideas on how to better engage with your customers through Tableau.
• Integrating data points from multiple sources - from online purchases to in-store purchases
• Understanding online demand versus in-store and how to better serve the customer by geography
• Generating new insights by trend and customer segment – and driving new customer categories
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.
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.
In the Omni channel retail world, losses due to fraud are an ever present variable. Online and in the stores, fraud is as consistent as the buying patterns of general consumers but often far more difficult to identify and predict. While there are many know methods for analyzing profitable customer behavior and sales forecasting, retail loss prevention managers and analysts are tasked with finding fraud layered within terabytes of data.
With the aid of Tableau, the Global Loss Prevention Investigations team has revealed hidden patterns within their point of sale data which can then be leveraged to identify, investigate, and mitigate internal and external organized retail fraud.
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
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.
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.
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.
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.
Starbucks analysts have been leveraging traditional BI tools for the last decade. While these tools work well to provide information, they present challenges for self-service, lack visual appeal and interactivity.
Starbucks embraced Tableau with the goal of reducing/eliminating manual work and enabling executives with an interactive tool for metrics analysis. Not only did Tableau help solve these issues, it vastly improved adoption of BI and had an immediate impact on tracking KPI's across the enterprise.
We will cover the following during this session:
- How to transition from traditional BI to visual BI
- How to decide when to develop reports in traditional BI vs Tableau
- The change in requirements gathering
- Turning vision into reality
- Technical Architecture
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
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
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!
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
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
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.
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.
Note: Content is still being added to the schedule. Sessions, times, and locations are subject to change.