Join us for the 2017 Tableau Keynote address!
Organisations today collect massive amounts of data across all of their business units, but often struggle with how to bring it all together to get a unified view of business performance. This is especially challenging when your organisation has flourished without sophisticated analytics for over 100 years. Hear how Close Brothers, one of the oldest and most respected merchant bankers in the U.K., introduced data-blending and self-service analytics throughout their operations to effectively align their corporate strategy with the business performance of their various departments.
Analyzing sensor data can be overwhelming. How should you structure the IoT (Internet of Things) data? How do you create an overview monitor? How do you know when a certain value is in a critical state? We'll use industry data to demonstrate:
- Why visualizing your sensor data is key to monitoring
- The use of Tableau's analytic functions to find outliers and clusters within your IoT data
- How to create a dashboard that shows you the big picture while allowing you to drill down using dashboard actions
The BBC is defined by its relationship with its audience. And it's crucial that content-makers, editors, product-developers and management have a good and truthful awareness of that relationship.
The BBC Audiences team tries to understand everything from news junkies to soap enthusiasts, from sports fans to music geeks, from toddlers to grandparents, from the mainstream to the niche. In short, the breadth of the BBC audience.
And the role of the Audiences team is to make sure that the voice of that audience is always present in decisions made at the BBC. Introducing a data-megaphone like Tableau to that equation has given us new ways of representing that voice.
In this talk we hope to take you through what a Tableau Year One at the BBC looks like.
If you're still learning your drags from your drops, and your dimensions from your measures, this session is for you. Learn the fundamentals of Tableau, including how to connect to data, answer statistical questions, build maps, and apply some table calculations in a dashboard you can take with you at the end of the session.
Tamas is notorious for pushing the limits of Tableau Server and finding creative ways to build impossible things. Custom charts? Multi-sheet Excel export? Data annotations? Auto-refreshing dashboards directly in Vizportal? Reusable Server plugins? This session helps you to be your organisation's unquestionable Tableau server champion by showing some useful but neat tricks.
Have you been newly appointed as a Tableau Server administrator, tasked with setting up a new installation of Tableau Server for your company? Come to this session and learn how to configure Tableau Server, and set up your users and existing Tableau content. We'll teach you how the web interface works and best practices for assigning permissions for your users and their content.
The ‘Show Me’ choices are a great way to get out of the blocks in Tableau, but with multiple marks cards and dual axis charts you’ll be yards ahead of the competition. In this session we’ll explore the history of the men’s Olympic 100m final while learning about dual axis maps, mixed level of detail charts, multiple marks cards and when to synchronise. Much more than tricks and tips, these essential Tableau techniques will allow you to be more creative and take your analysis to another level.
One of the most powerful new features in Tableau is cross-database joins, which gives you two methods of data integration: data blending and cross database joins. In this session, you'll learn advanced data blending techniques, an overview of cross database joins, and the situations where each technique should be used. To get the most out of this session, you should have a basic knowledge of data blending, joins, and basic calculations.
Come join us as we discuss how we took an unusual route to sell Tableau at the highest level. The problem with showing people data they know in Tableau, is they will focus on the data, not the product. We have a barista in our office, but the constant question being asked - when is the best time to que for coffee? We downloaded a point of sale system with a free 30-day trial and handed it to the barista, asking them to track every single coffee and snack order. We showed some great insights such as:
- The best time to que for coffee was in fact 11am
- If you wanted to get a "run in" meeting with our MD, he usually que's up for his coffee between 9 and 9:15
They fell in love with the fact that if these were the kinds of insights we could get on coffee, what impact could it have on the rest of the business?
What are the best practices to get your data ready to viz? In this session, we’ll show you “good” data formatting, great ways to clean Excel data, data unions and how to fix mismatched fields. You’ll also learn join awareness, when and how to pivot, how to deal with missing data, and how best to enhance your data while vizzing.
Tableau makes exploring your data easy, but what do you do when that data is locked away behind a web service? Is exporting all of your data the only hope? With Web Data Connectors in Tableau, you can now unlock these sources and bring your precious data into Tableau easily from both internal and external web services. Web Data Connectors let you connect to and refresh web data sources by writing some custom code. In this session we'll walk through how these connectors work, how they integrate with Tableau, and look at some real world examples. We'll even write a simple connector and take you through the steps to build, debug, and share the final connector.
Follow a year - okay, 387 days - in the life of one Inmarsat analyst. From drowning in data with Excel pivot tables and vlookups, through to dipping her toes in the world of data viz, Laura has rode the waves of glory all the way down to Tobacco Dock. This truly is a story of how one analyst can pay off an entire company's investment in Tableau with a single project.
Is your organization drowning in the data lake too? Leading big data organizations are leveraging a multi-tiered approach to data for consumption in Tableau. In this session, we will:
- Discuss the challenges of visualizing big data
- Establish best practices for leveraging Hadoop/Spark directly and working with data warehouses
- Talk about in-memory Tableau data extracts for fast visual analysis in Tableau
Repeated on Wednesday, June 7, from 11:30-12:30.
Tableau supports a number of basic statistical analysis features that can be powerful tools for understanding data. Come and learn about these basic statistical concepts in the context of Tableau, so you can understand your data! The session will also cover how Tableau's built-in forecasting functionality really works; why does forecasting behave the way it does? How can you change Tableau's forecasting model? Why doesn’t your forecast work? How can you leverage R?
1. Usage of Tableau in daily business with various examples - Price Scraping (Data Exploration) and EOSS Analysis (Reporting and Analysis)
2. Drill deeper into the example of the Management Dashboard - how Tableau has helped steer the decision making of the Western Europe eCommerce business (19 markets, 38 websites) through the management dashboard.
We at adidas are challenging the status quo through tableau and getting functions like finance to adopt it. Tableau has enabled us to move away from powerpoints and we have gotten people to enjoy analytics through it.
There is so much that is possible through Tableau and we want to be able to bring that message across to the attendees. It is used not only to solve the more granular issues but to see the bigger picture as well. A few years ago we started with a Tableau license and now have a fully integrated ecosystem around it.
Attendees will learn how they can answer most questions through a few clicks and tackle many stakeholder questions through one dashboard. They will also learn the "do it yourself" approach, driving efficiency in the business and reducing the number of ad hoc requests.
Repeated on Wednesday, June 7, from 14:45-15:45.
Want to design outside the box? Tableau's SHOW ME feature is fabulous, but sometimes you need to deliver something more specific. In this session, we will explore the multitude of chart types that are possible in Tableau, but aren't considered "defaults." Come learn how to build a pareto chart, hex tile map, trellis chart, heat calendar, doughnut chart, lollipop chart, bump chart (if you must) and waffle chart. We will also discuss the pros and cons of each chart, where you can find a good blog post about each chart and briefly discuss some other popular charts that you can build with Tableau.
Expand the way you approach data with a look into the future. See how Tableau is building on visual analytics to bring more value to you and others within your organization. Learn about new capabilities coming later this year from Tableau’s Chief Development Officer, and find out what that means for you.
You've learned about actions and interactivity, but how do you truly implement a 'Guided Analytics' approach where performance and user experience live in perfect harmony? This session will empower you to combine numerous techniques to create truly snappy and engaging dashboards that your users will love.
Do you want to take Tableau adoption at your organization to the next level? Come to this session and learn about the key role IT has in promoting enterprise-wide collaboration and governance based on business value. We will share the insights and detail best practices formulated during implementations at data-driven enterprises. We will finish off by focusing on what is around the corner for IT in the roadmap.
The BI team at IAC Publishing Labs provides centralized analytics across several web-based publishing businesses. Through the web pipeline, the team manages 300 million+ events for monetization, and imports 1.5 TB+ data daily.
Previously, the team had limited ability to process the data, and split between systems. There was no control and ability to scale to meet the demands of analysts or to create devops environments.
Learn how to:
- Provide a comprehensive view of the data using Tableau and Snowflake to all their analysts.
- Providing structured and semi-structured data to simplify their data pipeline using Snowflake and Tableau.
Do you struggle creating the calculations needed to answer your business questions? Do you struggle taking a dashboard from concept to execution? In this hands on session we will cover basic business calculations and then introduce you to Guided Analytics - a Tableau design concept that results in thought provoking and engaging dashboards.
If you're in search of more end-user interactivity in your dashboards, this session is for you. Parameters allow you to create user inputs that can be used to adjust measures, swap dimensions, hide worksheets, build conditional logic, and much more. Come learn the basics of parameters from the ground up, and even a few sophisticated parameter use cases.
What you will learn:
- What a parameter is
- Simple uses of parameters such as moving averages, what-if analysis, adjusting KPIs, and top N filters
- Sophisticated uses of parameters such as swapping fields within a chart and swapping charts within a dashboard
Repeated on Wednesday, June 7, from 14:45-15:45.
Do you conduct business in more than one language? Ever wondered how to design a single dashboard to be consumed by people in whatever country they reside? In this session, we'll cover all of the tips and tricks involved with localization - from taking advantage of data sources to implementing with paramters. You'll leave the session feeing very happy /très heureux / muy feliz/ sehr glücklich.
Are you new to Tableau? Curious about how to build views a bit quicker? Maybe you've created a few workbooks and you've learned how to follow a recipe that someone showed you. That recipe gives you useful results, but now you want to start doing more, become more spontaneous and creative, and start down the road to really mastering the art of Tableau. In this session, we'll show you best practices for visual analysis in Tableau, teach you some core Tableau concepts, and demonstrate useful tips that will help you become a data rockstar. In this session you will learn about:
- Preparing your data in Tableau
- Customizing the fields in your data
- Exploring your data by asking questions and building views to find answers
- Creating dynamic views and filtering views
- Building interactive dashboards
Jointly run by HESA and Jisc, Heidi Plus is a nationally coordinated HE Tableau dashboard development and delivery service which has involved 130 analysts from 70 universities in an agile development model, using datasets sourced by HESA or externally with the support of our legal, technical and support framework. The Heidi Plus deliverable has been taken up by over 2000 users across 145 universities (over 90% of the sector) and we are exploring expanding the model to other education sectors and non-education sectors. Learning and developing Tableau skills as part of the development team has offered real benefits in employee CPD. Our model’s success lies on the user story defined at the start of dashboard development, which allows us to focus throughout development on dashboards that perfectly match user requirements.
- Briefly introduce the JSAPI and features such as filtering and the newly added Get-Data API
- Dive deep into the API
- Show you some advanced use cases for developers, such as creating custom D3 vizzes that can interact and work together with Tableau vizzes
Join us as attendees learn how NHS Improvement is transforming its way of providing analytical support to the trusts through Analytics Hub. We’ll cover key challenges we’re facing in NHS, e.g. the ever-growing population’s healthcare needs and financial pressure, and how NHSI is working together with partners to help the trusts help themselves. We’ll describe our journey over the past three years to improve our analytical maturity and showcase, with few examples, how we’re using Tableau Developers and Server to promote self-service analytics with a pragmatic Tableau operating model, and provide analytical support to the trusts with their needs across ‘quality of care’, ‘finance and use of resources’, ‘operational performance’, ‘strategic change’ and ‘leadership and improvement capability’.
Johnny will share the story of the start of our Tableau journey at Countrywide, where we went from one tricky business problem to 600 happy Tableau server users in only three months. Needless to say, this delivered a healthy return on investment to our business! Johnny will cover how their team got buy in for the project, why the investment stacked up, the design and delivery process, and how we created a super engaged group of regular users.
Anyone can analyze basic social media data in a few steps. But once you’ve started diving into social analytics, how do you bring it to the next level? This session will cover strategies for scaling a social data program. You’ll learn:
- No more Excel extracts! Connect directly to your social media data with a Web Data Connector
- Considerations for building scalable data sources
- Tips for using metadata and calculations for more sophisticated analysis
Social data can offer powerful insights right away. In this session, you’ll learn how to build a mature social data program from that foundation.
Tableau Conference On Tour London welcomes Ryan Sleeper: Tableau Zen Master (2016/17), Iron Viz Champion (2013), author of the Tableau Public Visualization of the Year (2015), and author of Practical Tableau (O'Reilly 2016). Ryan is here to share his "Tablueprints"; his process for visualizing data with Tableau. During the presentation, Ryan will discuss his strategic framework for data visualization, tangible data storytelling tips, and the behind the scenes making of one of his visualizations. Ryan will take us beyond the usual web posts and videos to give us a firm understanding for finding and sharing valuable insights in data using Tableau.
Table calculation or LOD expression? This session will provide you a framework for making the choice. We will cover relevant parts of the calculation pipeline, performance implications, and the suitability for the scenario at hand. And, of course, we'll use real world examples to illustrate each of these points.
Do you want to implement a fun self-service governance model? Need more life in your data party? Well, we got the answers for you!
NXP addresses these questions with an internal Tableau Governance Model. In this session, you will learn what the components of this governance model are and how use them to implement a self-service BI platform, administer the Tableau server, and develop the NXP Tableau user community.
Come learn how to enable and engage your Tableau community... because a little party never hurt anybody.
Come and learn from Tableau’s Performance SWAT Team about all the knobs and dials you can use to tune your enterprise's Tableau Server deployment to maximize performance. Come to learn about:
- Adjusting your topology based on your usage
- Small workbook tweaks with big impacts
- How to monitor various performance aspects on Tableau Server
- How Tableau utilizes the resources on your host
- Reducing query times with data base tweaks
As our way of saying 'Thank You' for being a part of the Tableau Community, we're hosting an evening that you won't forget. Join us at the close of the final sessions after the first full day from 18:45-22:30 for a party to toast to your new-found data skills.