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This informal gathering is a chance for you to connect with other Tableau users in communications, media and entertainment, and high technology and learn about the value they have seen in key solution areas with Tableau. During the meetup, you’ll have time for general networking and more in-depth table conversations.
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
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
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
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.
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
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
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
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.
Note: Content is still being added to the schedule. Sessions, times, and locations are subject to change.