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Know Before You Go～ TC Austin ご参加者向け事前 Meet-up ～
31st Oct, 2016Tableau Japan, K.K.
# D A T A 1 6
The Austin Convention Center is the hub of Tableau Conference 2016. Breakout sessions and activities will also be held at the Hilton Austin, JW Marriott Austin, Westin Austin Downtown, Four Seasons Hotel in Austin, Hotel Van Zandt, Radisson, and Courtyard Marriott Austin Downtown.
Tableau Conference Austin オースティン（アメリカ合衆国 テキサス州）日本との時差： 15 時間 ( サマータイム期間中：14 時間 ) なお、 11 月 7 日 ( 月 ) からは標準時となるため、 15 時間の時差
Tableau Japan からの参加者ご紹介
Shun Hamada
Kogo EndoTakafumi Fukushima
Masayoshi Kawamura
Haruka Kinumura
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Daily Overviews
Monday
Monday (7th Nov)• Registration is open• Training Workshops• Certification Testing• Make your Tableau Doctor appointment!• Meetups (PM)1:00 - 5:00• Hackathon• Conference Newbie session• Welcome Reception (Austin Convention Center) 5-8pm
• At the Austin Convention Center (ACC)
Tuesday
Tuesday (8th Nov)• Registration is open• Tableau Vision Keynote (AM) 8:30-10:00• Devs on Stage Keynote (PM) 5:00-6:00• Sessions begin!• Pick a few highlights that make sense
• Tableau Doctor appointments start• Schedule Scouts/Answers Desks• Hackathon presentation (PM) 6:30-7:30• Japan Dinner (PM) 7:15-9:30
場所 ： W Hotel – The SecretURL : http://www.whotelaustin.com/時間 ： 19:15 – 21:30 形式 ：立食のビュッフェスタイル※ 年齢確認がありますので、パスポートをお忘れなく。
Japan Dinner
当日、 The Secret Bar は貸切となりますが、向側に” The Record Room” という共用スペースがあり、好きなレコードを選んでいただき、 DJ が音楽を流してくださるというテーマになっているようです。当日は The Secret Bar と The Record Room を行き来することも可能。
The Secret bar
The Record Room
Wednesday
Wednesday (9th Nov)• Shankar Vedantam Keynote (AM) 9:00-10:00• Iron Viz (PM) 4:45-5:45• Session highlights!• Pick a few highlights that make sense
• Tableau Doctor appointments continue• Meetups continue
Shankar Vedantam is an American journalist and science correspondent for NPR (National Public Radio). His reporting focuses on human behavior and the social sciences.National Public Radio (usually shortened to NPR, stylized as npr) is an American privately and publicly funded non-profit membership media organization that serves as a national syndicator to a network of 900 public radio stations public stations in the United States of America出所： Wikipedia
DATA N IGHT OUT PARTYWEDNESDAY 6 -10 PMLONG + PALM ER CE NTER
Hold onto your hat and get ready to kick up your heels at the data community’s party of the year.
This year, Data Night Out is going bigger than ever—Texas big. Whether you’re listening to killer tunes from our lineup of bands or nomming your way through food truck central, you’re sure to have a blast with your fellow data lovers. Kick back on the lawn and chill or let your inner child go wild at the grown-up playground. No matter your party style, you’re sure to have a blast at Data Night Out.
Thursday
Thursday (10th)• Bill Nye Keynote (PM) 1:45-2:45• Session highlights!• Pick a few highlights that make sense
• Tableau Doctor appointments continue• Meetups continue• Select certification testing
Bill Nyeウィリアム・サンフォード・ " ビル " ・ナイは、アメリカ合衆国の科学教育者、テレビ司会者、コメディアン、俳優、作家、科学者であり、アメリカで 1993 年から 98 年まで放送されていた科学教育番組「 Bill Nye the Science Guy 」の司会を務めていたことで有名な人物である。出所： Wikipedia
Go to: http://tc16.tableau.com/learn/sessions
お奨めのセッション (Customer Break Out)GoPro: Taking Data to the Extreme• As GoPro expands into content networks and launches new products, new sets of challenges have been appearing. 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. Every day, GoPro is collecting increasing amounts of data generated by internet connected consumer devices (smart cameras, smart drones), GoPro Mobile Apps, GoPro content networks, GoPro e-commerce sales, and social media, which range from raw camera logs to refined and well-structured e-commerce datasets. 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 and bridge the gap between tech-savvy engineers and data-savvy analysts, GoPro is creating an analysis loop, which informs product usage trends, and product insights. This analysis loop serves a large ecosystem of GoPro executives, product managers, engineers, data scientists, and business analysts through an integrated technology pipeline consisting of Apache Kafka, Spark Streaming, Cloudera’s distribution of Hadoop, and Tableau’s Data Visualization Software, as the end user analytical tool.
Nissan: Data Alchemy... How Technology, People and Process Transformation can Drive Enterprise Change
• During this session, we will share the approach and early successes that Nissan's IS & business teams have experienced while adopting a more collaborative model for data management & analytics. By focusing on business outcomes, proper alignment of the business & IS, and effective use of enterprise solutions from Informatica & Tableau, the company has unified around data as a high value asset. The pairing of visual analytics with self-service data discovery is the data alchemy that has become a powerful disruptor within the company for better decision making.
お奨めのセッション (Customer Break Out)Southwest Airlines: Empowering Data Users into Data Warriors with Self-Service Analytics• 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.
Interactive Forecasting at Visa: Using Tableau to Forecast the Growth of Virtual Machines• 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.
お奨めのセッション (Customer Break Out)Revving Up Tableau Server at General Motors• 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.
General Motors: Peeking Under the Tableau Hood• 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.
お奨めのセッション (Customer Break Out)How Twitter Leverages Data Visualization to Reveal User Patterns and to Monitor Experiments• With hundreds of millions of Tweets sent per day, the volume of content on Twitter is massive, making it extraordinarily complex to fight abuse. To
ensure people can continue to express themselves freely and safely on Twitter, we use data visualization to effectively reveal abuse patterns and to closely monitor experiments.
How Stanford uses Tableau to Better Understand Itself• Although Stanford occupies a central place in Silicon Valley, the epicenter of technology, big data, and analytics, like many universities, 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.
• In this session we will share some of the emerging strategies Stanford institutional researchers are using to incorporate agile, self-service analytics in the form of Tableau data visualizations and dashboards into how we measure and evaluate the university and how we convey our findings to campus leaders.
お奨めのセッション (Customer Break Out)Finding opportunities Within Data at Home Depot Measurement Services• Learn how to leverage dashboards to identify opportunities for improvement within an organization, either on an individual level, all the way to
entire divisions. 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. The first step is to identify correlations between metrics and the desired outputs using scatter plots and regression lines. This will help determine which numbers to focus on improving and which will drive the most substantial change. The second step is to use both box and whisker plots as well as scatter plots and four quadrant analyses to identify those opportunities. Finally, building reports and dashboards that monitor the opportunities and their progress. Using these methods, 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.
Sprint Server Admins: Don't Fear Web Authoring• 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.
お奨めのセッション (Customer Break Out)Enabling Operational Reporting at Starbucks: Moving from Excel and Traditional BI to Tableau• 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.
How PepsiCo Accelerated Reporting by 90% using Trifacta for Data Wrangling• 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.
お奨めのセッション (Customer Break Out)Blank Slate: Growing an Analytical Community at Hallmark• 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.
Building a COE at Wells Fargo: Next Level Governance at Large Scale• 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.
お奨めのセッション (Customer Break Out)How Credit Suisse is Leveraging Tableau to Support Client Strategy, Global Regulations Compliance, and Risk Management• 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.
HR has Data Scientists? How the Gates Foundation Visualized People Data to Discover Insights• 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.
お奨めのセッション (Customer Break Out)Teamwork makes the Dream Work! Inspiring a Data-Driven Culture at Kimpton• 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.
Building a Culture of Modern Analytics JPMorgan Chase: Jason & Steve's Excellent (Tableau) Adventure• 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.
お奨めのセッション (Customer Break Out)Improving Supply Chain Operations at Pactiv LLC Through VisualsSince 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.
The Intel Way: Breaking up with Your Ex(cel) and Moving in with TableauWhen 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.
お奨めのセッション (Customer Break Out)How the State of Ohio is Building an Enterprise Service for Self-Service Analytics• 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.
Coca-Cola: Making S&OP Come Alive• 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!
Tableau 社員セッション ( 製品機能系 )
選定基準
• 日本ではなかなか聞けないもの• 昨年はやっていない新しいもの• Tableau の可能性を感じてもらうべくすべて Jedi レベル• スピーカーがよさそう• なかなか聞かないと思いつかない Tableau ならではのマニ
アックなテクニック紹介
お奨めのセッション ( 弊社 SE 一押し！ )Digging into Your Data Structure to Fix Tough Calcs (Repeated)• Have you ever spent hours banging your head against your computer trying to solve a hard calculation problem?
Often the solution is not a calculation at all, but rather a data transformation. This session will teach you how to determine whether your analysis requires a calculation or a change in data structure.
Data Blending and Integration for Jedis (Repeated)• What are the differences between data blending and cross-database joins? How does performance compare
between the two? Why do we need both? Join this session to learn how to optimize your data connections.
Dashboarding on the Edge of Impossible (Repeated)• Know every trick and approach to using parameters and actions in your dashboards? Confident that you've seen
every creative approach for weaving an interactive data story using Tableau? This session will change your mind and is designed to show those deeply familiar with calculations, parameters, and actions how you can often stack, layer, and intertwine these capabilities. Achieve interactivity and customization inside your Tableau dashboards unlike anything demonstrated in normal training, or listed in standard documentation. Join this Jedi session and learn how to color outside the lines when it comes to parameterized sheet control, active zone layering, event-driven reference lines, and user-driven annotations.
Solving Real-World Challenges with Level of Detail (LOD) Expressions for Jedis (Hands-on なので長いですが･･･ )
お奨めのセッション (Advance / Jedi)LODs of Fun with Level of Detail Calcs (Repeated)• Level of detail expressions (LOD) in Tableau have introduced an abundance of new capabilities for curious data
geeks who wish to push the boundaries of Tableau. This session will demonstrate "LODs of fun" techniques, including enabling single member drill down, search across a hierarchy, one-click drill down on maps, market basket analysis, and other filter scenarios.
Jedi Strategies Using R-Integration (Repeated)• R-Integration is a powerful feature of Tableau. It combines the extensibility and statistical power of R with the drag-
and-drop ease-of-use of Tableau. In this session, we will explore the possibilities of R-Integration in both Tableau Desktop and Server, and learn some advanced strategies for bringing the power of R into Tableau. If you have never used R-Integration before, come see why people are excited about the feature and the possibilities it opens up to Tableau. If you are already familiar with R, come learn more about how it works behind the scenes, and how to make your workbooks faster and easier to use.
お奨めのセッション (Intermediate)Tableau Tips for Beginners (Repeated)• 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:
Understanding Level of Detail Expressions (Repeated)• Level of detail (LOD) expressions make it possible to concisely formulate complex aggregations in Tableau
calculations, and use them in views that are aggregated at different levels of detail with a different set of filters. They blur the line between measures and dimensions, allowing aggregations to be used as dimensions so you can answer complex questions with ease. This session is a guided journey to understanding the mechanics of LODs so you can understand how they work and where and how to apply them in your analysis.
Rapid Fire Tips & Tricks (and Bad Data Jokes) (Repeated)• Fact: People like to look good using Tableau. Possible fact: Data makes for good stand-up comedy. Separate fact
from possible fact with this collection of Tableau Desktop secrets and shortcuts. Use them to impress your boss, that person at the bar, or maybe just your pet. Laughter probably not insured. Promotions definitely not included.
スマホ専用アプリを是非ご利用下さいAvailable mid-October
Pre-register for Hands-On Training sessions
Explore everything conference has to offer!
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Bar & Dinner List
Restaurant Name Cuisine URL Address MAP
Clarks' Oyster Bar Seafood http://www.clarksoysterbar.com/ 1200 W 6th St, Austin, Texas 78703 MAP
Café Josie American http://www.cafejosie.com/ 1200 W 6th Street Austin, Texas 78703 MAP
Zilker Brewing Company and Taproom Bar http://www.zilkerbeer.com/ 1701 E 6th St, Austin TX 78702 MAP
The Roosevelt Room Bar http://therooseveltroomatx.com/ 307 West 5th Street, Austin, Texas 78701 MAP
The Firehouse Lounge Bar Business websiteaustinfirehouse.com
605 Brazos St, Austin, TX 78701 MAP
Easy Tiger Bake Shop & Beer Garden Bar easytigeraustin.com. 709 E 6th Street, Austin, TX 78701 MAP
Hotel San Jose bar Bar http://www.sanjosehotel.com/lounge/
1316 South Congress Avenue, Austin, Texas 78704 MAP
Bar & Dinner List
Clarks' Oyster Bar
Café Josie
The Roosevelt
Room
The Firehouse
Lounge
Easy Tiger Bake Shop
& Beer Garden
Bar & Dinner List
Zilker Brewing
Hotel San Jose bar
Don’t forget your business cards （御名刺もお忘れなく！）
よくあるご質問1. Japan ディナーはいつ、どこで開催されますか ?
回答： 19:15 よりみなさんホテルどこに泊まっています？→ W Hotel – The Secret にて実施致しますので、皆様お集まり下さい。
2. 皆さんどちらのホテルにご宿泊されていますか ?回答： 皆様のご登録内容を拝見する限りでは、「エンバシースイーツ バイ ヒルトン ダウンタウン」が多いようです。
3. 現地の気候やどうですか ? また、どんな服装で参加するのが良いですか ?回答： 個人差がある部分のため難しいですが、日本国内の 10 月後半の気温に近いようで、だいたい最高気温が 20 度～ 23 度、最低気温は 12 度前後のようです。そのため、半袖、薄い長袖、上に羽織るもの（ジャケット等）があれば良いかと思います。なお、摂氏と華氏の自動計算のリンク記載致しますので、お部屋でのエアコン調整の際などにお使い下さい。 オースティンの天気： http://www.accuweather.com/ja/us/austin-tx/78701/daily-weather-forecast/351193?day=21摂氏・華氏変換： http://xn--x3up7oa165v.aimary.com/
4. セッションの内容は後日配信されますでしょうか ? 回答： Keynotes 、 Breakout sessions は後日録画されたものをご覧いただくことも可能となっておりますが、ハンズオンセッションの録画はございません（ただし、後日プレゼン資料、ワークブックは公開される予定です）。
5. H.I.S. よりいつ旅程詳細が送られてきますか ?回答： 詳細は出発 1 週間前にお知らせがございますので、そちらをご確認下さい。
