Sessions

Advanced analytics is a journey that involves understanding the past, predicting the future and finding the best course of action to attain goals. Be it via built-in visualizations, forecasting and clustering, or custom machine learning models built in R, Python or Matlab, Tableau can help every step of the way. This session reviews broad types of advanced analytics possible with Tableau with example use cases. We’ll explore what’s possible, when and how to use specific features and contexts that they are applicable to.

Data-driven decisions are paramount to thriving and growing in today’s business, government, and service environments. In this session, the Grande Cheese Company shares how to leverage vast resources of publicly available data from governments, non-governmental organizations, and commercial sources to augment and enhance understanding; leading to better business decisions. Topics include: - Sources and access methods to publicly available data sets, reliability and biases in data, and opportunities to use public data both tactically and strategically - Tableau demonstrations using public data from North/South America, Europe, and Oceania will focus on proper organization, presentation, and visualization of data and methods to restructure data within Tableau to make comparative analysis and glean understanding.

Want to hit the ground running with advanced data analytics? No sweat! In this session, you’ll learn how to use an ELT approach to maximize your data integration performance; extracting data from multiple source systems, loading it into your data warehouse (at speed!) and conducting complex transformations directly on the data warehouse itself, before pushing the output to Tableau for visualization. We’ll be using data collected from the Strava API, supplemented with additional public data sets for deeper analysis of logged activities. You’ll see how to use Matillion ETL to load and transform this data on Snowflake, before highlighting some best-practices in Tableau, to generate the visual insights your business needs.

Learn how you can use Python in Tableau! We probably cannot teach you how to code in two hours, but we can show you how to use Python in Tableau to create amazing visualizations that would otherwise not be possible. We will show you how to install TabPy, how you can get Tableau Desktop and Server talking with a Python environment, and most importantly, how you can put Python code directly into your Tableau calculations.

You've decided you want to up your Tableau game, and you think you could use a mentor to help you. Great! A formalized, focused mentoring relationship can accelerate your professional development no matter what your level of expertise, from absolute beginner to seasoned veteran. After all, you don't need to go it alone: a good mentor can be an advocate, a facilitator, a guide, a teacher, and a coach. But to get the most out of your mentorship, it takes a commitment and investment in the process—on the part of both the mentor and the mentee. In this session, you'll hear about the specific benefits of finding—and being—a mentor, how to find the right mentoring relationship for you, and hear mentorship success stories from the Tableau community.

In this presentation we'll go through the steps required to build an advanced Web Data Connector. To support the presentation, a repository has been created with well detailed and profusely documented code so that you can understand what it takes to create a maintainable, reliable and production quality WDC. The code has a direct link to the official documentation so you can make this connection and learn.

The Snowflake platform enabled Logitech’s cloud journey with minimal impact on business operations. The platform acts as a big data fabric layer, and sources data for all of Logitech’s analytics initiatives from descriptive to prescriptive to predictive analytics, including NLP processing engines. Learn how Logitech:
* Built a hybrid data fabric to integrate and deliver information across on-premises and cloud seamlessly.
* Empowered business users with a symbiotic environment for rapid innovation with guardrails.
* Reduced TCO, such as infrastructure and operational expenses, while reaching exceptional service levels and ability to support a wide variety of use cases.
* Enabled Tableau platform to be real-time with minimal data extracts, and empowered business for advanced analytics.

At Tableau, we believe that customer engagement helps us build better software. Come hear how User Research, Pre-Release Programs, Forums, Zen Masters, and other customer engagement programs bring the customer experience to life within our development organization. Hear from our customers about their experience and see how customer feedback impacts Tableau. Walk away with a better idea of how Tableau uses your input and a process framework you might deploy at your own organization!

Learn from the personal experience of a people insights and analytics manager to discover how she enables easy user access to human capital metrics at AbbVie. The solutions implemented have led their team to a paradigm shift for business users—from depending on spreadsheets and analysts to provide data, to self-service through Tableau Server.

In this session:
• Learn about the prior state of HR analytics: security challenges, data access, manual calculations, and more.
• Learn the steps AbbVie’s people insights team took to: allow dashboard/enterprise access through Tableau Server, create a better visual experience to understand the metrics, allow drill down, tie up security challenges and create a single source of truth for their entire user base.
• You’ll see AbbVie’s people insights dashboard and a preview of the process that got it built and in front of the right users.

Calling all problem solvers and workout junkies! Join us as we tackle one of the most revered community initiatives LIVE: #WorkoutWednesday! What is #WorkoutWednesday you ask? The idea is simple: participants challenge themselves to rebuild a dashboard from scratch using predefined requirements and a fully built dashboard as inspiration. In this interactive session, you’ll flex your brain and grow your Tableau skills as you work through the weekly challenge. Plus, you’ll get to see the dashboards recreated in real time by coaches Luke, Rody, and Ann. The best part? You don’t have to wait for Tableau Conference to start getting active. Join us weekly for the challenge at www.workout-wednesday.com and look for our special TC edition to be posted well in advance.

Product managers Jason Burns (from Tableau) and Tom Slee (from SAP) will jointly present best practices, and things you should know about using Tableau on top of SAP HANA for the best possible experience and performance.

How do you keep talent coming in the door fast enough when you are experiencing hyper growth? How do you maintain a qualified and diverse workforce, while filling roles to meet the business needs? How do you ensure you are using interviewers time efficiently? Hear from the Heather Torres, Head of People Analytics at Lyft, on how to shift the company from manual tracking to a custom backend solution for delivering key metrics on the organization performance.

Tableau is working to boost our support for data science workflows by strengthening our integrations for languages like Python and R, as well as popular platforms like MATLAB. As these tools become more common in the market, we want to understand your needs and use cases for statistics and machine learning technologies, and how we can make your experience in Tableau powerful and delightful. Get the latest scoop from the team and share your experiences and ideas to help guide our plans!

VizQL, the language at the heart of Tableau, ties together UI, queries, and a powerful mental model of data visualization. It allows users to build insightful vizzes and gives tools access to information for automated reasoning about the results. But that's just one example of languages that can allow for rich user input, optimizations, natural language interaction, and machine learning tools.

In a world of digital disruption, staying ahead of competition has never been more paramount to the success of an organization. That's why at Mars, exciting technological initiatives have been implemented to derive deep insights from data through analytics. Using a modern business intelligence and analytics approach, Mars moved forward with the concept of self-service analytics using Tableau in the Microsoft Azure Cloud as the preferred tool. In this session, attendees will learn how our self-service analytics approach empowered our associates with governed data, an easy-to-use tool, and training in order to develop an active community, able to unlock value from their data themselves.

As one of the thought leaders in Expedia's cloud migration, the Expedia Global Payments BI group architected, designed, and built a complete cloud data mart solution from the ground-up using the AWS stack and Tableau Online. In this session, we will discuss our technical architecture at a high level, and dive deeper into our methodology for transforming transaction level detail into a self-service reporting solution.

Eager to install Tableau Server on Linux, but not sure where to start? In this class you will get hands-on experience spinning up your own instance of Tableau Server on a Linux machine. We will be installing and configuring Tableau Server using Tableau Services Monitor ensuring you get to utilize some of the brand-new features that are now available. Expect to learn best practices on completing the install, configuring Tableau Server on Linux, and migrating effectively from your existing system.

In this session, we will walk through a complete Tableau portal and the key Tableau technologies used to build it such as: integrated authentication, the REST API and the JavaScript API. You’ll learn through specific examples how to approach building your own embedded Tableau portal. The portal used will be at a level of functionality such that the session is also about the art of the possible.

Learn how a division of Home Depot is increasing customer experience and saving money by holding our vendors accountable using interactive Tableau dashboards and machine learning. Getting orders right the first time and produced/shipped on time is paramount to our customers. Exposing production times and other data to our vendors through secure, well designed Tableau dashboards, our teams are helping them achieve these goals. Our machine learning models help detect problem orders before they occur, alerting our teams before they get to the vendor, helping save production costs and improving customer satisfaction.

As seen in devs on stage, Tableau is bringing powerful new capabilities to interactive analytics. The applications for interactive statistics are profound. For example, identifying time series that are most highly correlated with a selection, cluster analysis applied to interactive outlier detection, baselining a stock’s performance against the market in general, correlating market value of players to their team’s performance in the World Cup, and tracking the turnover of (or time to resell) a selected cohort of properties. We recommend also attending “Ready, Set, Action” for an introduction to concepts applied in this session.

Learn how Amazon Redshift and Tableau make it easier to analyze and visualize your data at scale. Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyze all your data across your data warehouse and data lake. Tableau’s ability to connect directly to Redshift and leverage its massive computing power means even the most non-technical business user can quickly discover business insights with easy to use drag and drop visual analytics.

In this workshop we will walk you through the process of deploying an Amazon Redshift data warehouse. We will load data into Amazon Redshift from files in an Amazon S3 bucket from beginning to end. Then we will show you how to use Tableau to visually analyze your data.

Have you ever been asked: - to build a pie chart with 100 slices? - to build sparklines that never decrease because partial months are perceived as tanking? - to label every point on a chart? - to replicate an Excel spreadsheet? A day in the life of an analyst is not easy. We often wear multiple hats and become translators for different parts of the business who often don’t understand data, processes, or even the business itself. In this hands-on session, Zen Masters, Pooja and Adam of TheDataDuo.com will walk through real-life business cases, including gathering requirements, building solutions on-the-fly, and delivering artifacts to our stakeholders. You will learn about techniques employed in our environments and how to deal with stakeholders that have limited to zero data literacy.

Why sit alone during lunch when you could chow down with fellow data geeks supporting K-12 education? Join members of Tableau's education team at a reserved table in Data Village and connect with your peers.

At Marriott, the customer experience team uses Tableau to encourage data-informed decision making in business units across the globe. In this talk, Yinian Hou and Kristin Yanulites of Marriott will discuss how the team transformed the culture of data and reporting, drove enterprise-wide adoption and doubled the user-base within a year. Attendees will also learn about how to manage and scale-up the Server’s contents and data sources using the latest functionality from Tableau 10.5.

Worthington Industries’ steel products are highly customized to end-user specifications. This high-mix, low-volume business makes price optimization using traditional methods difficult. Determining which products/markets to include or exclude from a given comparative analysis is often subjective and can lead to inconsistent recommendations. In our case, machine learning methods resulted in over-fitting due to insufficient training data. Tableau with R allows our analysts to test different market conditions using the power of predictive analytics (logistic regression) in a user-friendly environment. This tool represents the latest evolution in Worthington’s growing adoption of Tableau Server, deploying increasingly sophisticated features to our 50+ users.

It's hard to analyze data that you don't know exists. How do you know what's out there? Once you find it, can you trust it? What if it contains sensitive information? How can you be sure you have what you need so you can move on to deeper analysis in Tableau? Come learn about the value a Data Catalog can provide as you get hands-on with the Unifi Data Platform. 1) Discover data you didn't know existed using NLP to search through data from across your organization; 2) Build the catalog by crawling through data everywhere - File shares, databases, Tableau Server (Oh My!); 3) Identify sensitive data with Unifi's auto-detection of PII and customizable data masking; 4) Collaborate to create your own community of new data sets, metadata, and user-defined data types; 5) Output your trusted data to Tableau-ready formats (.twbx, .tde) for further analysis in Tableau Desktop

Periodic “hackathons” are one of the tools we use to drive innovation at Tableau. A hackathon is a few days that are set aside for members of the engineering team to go off and try to build a new feature that interests and excites them. Some hackathon ideas have come from customer feedback and forum discussion, others are just wacky. Some hackathon projects have later developed into Tableau features. Come for an inside view of some of the best hacks of 2018! (Please note: All hacks are speculative or wacky. They might never become part of a Tableau release. We make no promises that any hack that you see will become part of the product, but hey, come have fun anyway!)

Stamford Health is a major teaching facility with outreach across Fairfield County, CT. It includes a 305-bed hospital and over 150 physicians across several specialties. With the creation of a centralized analytics department, Tableau was chosen as the enterprise-wide data visualization and reporting software. These changes helped improve reporting efficiency, organizational transparency, scheduling proficiency, and data consistency. Our dashboards were also able to replace several third-party vendors and avoid expensive consultant fees. Over the past few years, we have deployed custom analytics to the entire medical group organization, improving productivity, quality, financial, and operational performance. With the increased transparency into OR capacity and availability, we have empowered our staff and surgeons to deliver better care and our perioperative leadership to manage issues proactively.

You want to create a first-class viz. But much of an analyst’s time is spent on finding the data, understanding it, trusting it and finally, landing it in Tableau. Just think how many phone calls, emails and corridor speed-chases you typically need to accomplish just that? Join Informatica and our valued customer to learn how to reach data analytics nirvana. Really! We will discuss and demonstrate a better way to discover and understand enterprise-wide data that is trusted and relevant - right from your Tableau workbook. Better yet, see how you can easily and quickly provision that data yourself, into your Tableau environment, in Hyper or TDE. All blessed by IT and your colleagues. Now everybody’s happy! See? We told you – data analytics nirvana! Our demo will feature an AI-driven data catalog showing you how to “shop” for data like you shop online.

Why sit alone during lunch when you could chow down with fellow data geeks supporting higher education? Join members of Tableau's education team at a reserved table in Data Village and connect with your peers.

Have you heard about dashboard extensions, but don't how to use them or which are available to you? In this session, we'll show you five dashboard extensions that are available to everyone.

In over your head with financial data? Join this session for finance by Tableau Finance and learn how we use our product to crunch the numbers. Expect to learn how to combine actuals from your general ledger with forecasts and budgets within Tableau (when they’re likely originating from different places and stored at different levels of detail), and how to create depreciation/amortization schedules when Tableau doesn’t have a built-in “dates” data source. Along the way, you will get tips on how to Flatten Account/Department Hierarchies and build an Income Statement. If there’s time, we’ll address topics such as Balance Sheet and Dash of Dashboards.

The performance of your Tableau Server deployment can make or break your users' experiences, and the acceptance of Tableau within your organization. Let's roll up our sleeves and take a deep dive into understanding how different components of Tableau Server work together, and how to maximize your deployment's performance. Learn about tools and methods to monitor the performance of your deployment and diagnose underlying problems. Gain a deeper understanding of how workbook load times, backgrounder schedules, query performance, and virtual machines all have on your system as a whole.

Join us for the financial services Tableau user group at TC18. This is an opportunity for you to connect with other financial services users in the Tableau community. During this meeting, you'll have the chance to share best practices, connect with others, and learn new approaches to Tableau. We hope to see you there!

Starting out with statistics? This session is for you. We’ll launch from basic statistics (what they mean, how to access them in Tableau), then tackle creating box plots, histograms, control charts and more.

Ever wonder about the prospect of employment after graduation? The British Columbia Institute of Technology (BCIT) integrates Tableau in forecasting labor market statistics for education programs. The main goal is to assist the decision-making of internal administrative concerns and the students’ occupation of choice. Discover how we use Tableau to: - Compare Provincial Education Data Warehouse to economic time series data - Use forecasting tools and key economic indicators to predict job vacancies - Analyze the data to internally make decisions to create programs - Promote our programs to potential students with Tableau by giving them access to job-to-graduate ratios, salary data, and occupation growth rates

At the Portland Trail Blazers, we pride ourselves on being a data-based decision organization. As a professional sports team, it is key to retain our most loyal fans, and this is achieved by renewing our season ticket holders each year. And at the core of that, data transparency is key. Learn how Tableau helps us achieve transparency with executives and key staff across departments within the organization and how our Organizational Renewal Dashboard connects multiple data sources with Tableau, allowing us to track renewal of our valuable customers, be proactive in our retention efforts.

Learn how to create your custom administrative views. Our developers love to make your life easier. This is why you have pre-built administrative views to monitor your Tableau environment. But we give you even more! In this session, learn to further monitor your environment by plugging Tableau Desktop into Tableau Server PostgreSQL, and uncover advanced insights.

This session is geared towards an IT audience at organizations that have, or are deploying Tableau enterprise wide. During this session, we will cover a general overview of the Tableau platform with key considerations on four areas: Enterprise architecture (ensuring you have the right architecture in place to successfully deploy Tableau), security and governance (how to avoid a wild-wild west by ensuring the right security and governance control while still enabling self-service analytics at scale), data strategy (adopting the right data strategy for disparate data sources for different use cases), and management and operations (devising an operational plan to support the day to day management, monitoring and maintenance of Tableau).

What makes for a great dashboard? Better yet, what makes a good dashboard? Best yet, what even is a dashboard? Dashboards and dashboarding are the buzzwords of analytics and tend to be thrown around without a lot of context or understanding.

In this session we will dive into the underlying principles that make them successful as well as how to utilize them properly for successful adoption.

In order to succeed in this training, you must be interested in learning about dashboards, have a sense of humor, and bring a computer loaded with Tableau. To get the most out of Tableau, you should have a basic understanding of how to operate Dashboards.

How do I use data preparation to analyze my data deeper? Different data shapes unlock new forms of analysis. In this session, you'll learn how different data shapes make new types of analysis simple and fun. Find process bottlenecks by reshaping your event logs. See how your data changes over time by combining data snapshots. You'll walk away from this course with a library of data shapes and how to use them in Tableau and Tableau Prep.

Go big with Tableau! Are you planning to broadly deploy Tableau? Have you already put data in the hands of every user in your organization? Well this meetup is for you. Join your peers to network and exchange ideas for deploying at scale.

Still sorting your drags from your drops? Still mixing your dimensions with your measures? This session has your newbie name all over it. Come tackle 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.

Come engage with fellow education innovators and enthusiasts focused on Canvas. This casual gathering aims to inspire conversations and connections among those in the education industry.

Tune in to Devs on Stage as Tableau’s developer team demos the latest-and-greatest, as well as up-and-coming features. First-timers, get excited—this showdown has nailed standing ovations year after year. Expect an amped-up audience, quirky devs, innovative demos—and (hold onto your seats...) the updated features you’ve been asking for.

How many hours of valuable time have you spent recycling the same data in different configurations and combinations? How would you like to create a metric just once and be done? Find out Cerner used the JavaScript API and Node.js to allow five designers meet the ever-evolving needs of more than three thousand consultants and their leadership. You'll discover how we used cross-dashboard filtering in the API to dramatically improve performance and simplify data exploration. We'll talk about the business demand, data governance, and technology we used to create "Reportal" and invite our organization to build their own dashboards.

PG&E's Electric Distribution Operations had maxed out its reporting capabilities with Excel and Access. Yet, the business needed more data across different systems, and simplified insights and dashboards to make sense of it. Today, dashboards are refreshed daily for everyone from executive leadership to field employees. Join us on our journey as we designed new data architecture and tools from the beginning to support a rapidly changing organization. Learn how Tableau adoption requires as much social and relational capital as it does technical skills and visual acuity. We will also share our best practices for designing dashboards across a broad set of audiences.

Speech analytics has historically been limited to the contact center, but the customer interactions in your .wav and .mp4 files contain a plethora of customer experience insights for almost every department! From competitive analysis to understanding the common objections and obstacles in the customer journey, AI-powered speech analytics can deliver the true voice of the customer within your organization. In this session you’ll learn how to master the “art of the possible” by ingesting transcribed voice calls into your data lake, making them ready to be beautifully visualized in Tableau!

Running Microsoft Dynamics, Salesforce, Sage and/or SAP B1?  Imagine integrating all this data in to one set of Tableau dashboards for use across your business at a fraction of the time and cost of Alteryx. Stop imagining. Take a tour of ZAP’s pre-built Tableau analytics and see how ZAP Data Hub automatically integrates ERP, CRM, HRM and more in to one 360-degree view of your business. Without a data scientist or Alteryx server license in sight…  ZAP Data Hub: For businesses that want insight fast, without the data wrangling headache.

After the acquisition of the Hyper database technology, we shipped Tableau 10.5 with our brand-new Hyper data engine. This deep-dive talk sheds a light on Hyper's design philosophy and highlights the context in which the Hyper project was started. We use real-world analogies to illustrate how Hyper's core technology works and how it differentiates itself from other data engines and database systems. This session is not directly applicable to your daily work with Tableau, but lifts the curtain on one of our core technologies and provides food for thought on how the Hyper technology enables current and future Tableau customer scenarios.