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    • What is your Land Value, Thessaloniki? A Real (estate) Data Visualization Story
      What is your Land Value, Thessaloniki? A Real (estate) Data Visualization Story Charalampos Xanthopoulakis, Data Visualizations Architect Recorded: Feb 20 2018 11:00 am UTC 46 mins
    • Selling your house in the financial crisis-stricken Greece is up to this day a great ordeal. When faced with such a challenge, I was baffled by the sparsity of conclusive data on land value at my birthplace city, Thessaloniki. Embarking on a personal mission and collecting and processing more than 10K online housing ads together with open data, I managed to render an insightful interactive visualization of the actual real estate values on borough and city block level that was published through the Greek media. Join me on this thought process journey to find out how to

      o Gather vast online data with simple scripting

      o Combine your data with open data into meaningful structures

      o Create interactive data visualizations that have an actual impact @ infographeo.com

      This will be an interactive session, so please feel free to bring your thoughts and questions to share during the session.

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    • Improving time to insight with intelligent data visualizations
      Improving time to insight with intelligent data visualizations Frank van Ham, PhD., IBM Data Visualization specialist Recorded: Feb 10 2016 3:00 pm UTC 42 mins
    • Data visualization is a powerful technology but it's a means to an end and not a goal by itself. Its main purpose is to enable more people to gain faster insights from data. One way to accelerate this time to insight is to design better, more efficient visualizations. Design guidelines remain an always popular topic for data visualization talks because most data analysis applications require users to spend a significant amount of time turning knobs to get to the output they need.

      Alternatively, we suggest a design approach that focuses on meeting users' analysis needs, while minimizing their time to insight. In this IBM webinar, join IBM's data visualization specialist Frank van Ham as he illustrates the effectiveness of guided visual analytics on different types of data.

      Content Provided by IBM

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    • Four Pillars of Data Visualization
      Four Pillars of Data Visualization Noah Iliinsky, Visualization Expert, IBM Recorded: May 23 2013 5:45 pm UTC 39 mins
    • This talk discusses the broad design considerations necessary for effective visualizations.

      Attendees will learn what’s required for a visualization to be successful, gain insight for critically evaluating visualizations they encounter, and come away with new ways to think about the visualization design process.

      To be effective, a visualization must have:

      This talk will define these four pillars, reveal why they must be selected in this order, and discuss the importance and impact each has on your visualization.

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    • Data Visualization for Predictive Analytics
      Data Visualization for Predictive Analytics Andy Kriebel, Eva Murray, Benedetta Tagliaferri Recorded: Aug 24 2017 2:00 pm UTC 58 mins
    • What does the future hold?

      Predictive Analytics - everyone is talking about it and many organisations claim to be doing it. But are they? And what insights do they gain to then make tactical or strategic changes? How can analysts work with decision makers by sharing results in a visually effective and meaningful way while also informing them about possible courses of action?

      This webinar is presented by Andy Kriebel, Head Coach at the Data School and Eva Murray, Tableau Evangelist at Exasol. Our guest speaker on Predictive Analytics is Benedetta Tagliaferri, Consulting Analyst at The Information Lab.

      The webinar will look at some examples of predictive analysis and will show data visualization examples that are actionable and can drive further questions and discussions in an organisation.

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    • How data visualization can deliver clearer insights for the Finance industry
      How data visualization can deliver clearer insights for the Finance industry Eva Murray and Andy Kriebel Recorded: Jul 19 2017 1:00 pm UTC 64 mins
    • Death to Spreadsheets!

      Despite the growing popularity of data visualization tools across all industries, the finance sector still relies heavily on seeing data presented in tabular form. Analysts in financial institutions often spend a large part of their day pouring over spreadsheets, extracting numbers, pivoting tables, running macros and making adjustments before creating static reports to print for management meetings.
      But what happens if you have another question?

      We argue that there is a better way to approach financial data and to unlock more of the collective brain power of your analysts. We will show you a number of options for visualizing financial results, highlighting trends and developing KPI dashboards that provide real insights quickly. Because there are more valuable things your staff could be doing than wrangling with spreadsheets

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    • Automatic Visualization with Driverless AI
      Automatic Visualization with Driverless AI Leland Wilkinson Recorded: May 14 2018 6:00 pm UTC 57 mins
    • We wish to read datasets (text, logs, relational tables, hierarchies, streams, images, ...) and display interesting aspects of their content. The design to do this rests on the grammar of graphics, scagnostics, and a modeler based on the logic of statistical analysis. We distinguish an automatic visualization system (AVS) from an automated visualization system. The former automatically makes decisions about what is to be visualized. The latter is a programming system for automating the production of charts, graphs and visualizations. An AVS is designed to provide a first glance at data before modeling and analysis are done. AVS is designed to protect researchers from ignoring missing data, outliers, miscodes and other anomalies that can violate statistical assumptions or otherwise jeopardize the validity of models. This webinar will cover the theory and operation of the AutoViz implementation of AVS inside Driverless AI.

      Leland's Bio:
      Leland Wilkinson is Chief Scientist at H2O and Adjunct Professor of Computer Science at the University of Illinois Chicago. He received an A.B. degree from Harvard in 1966, an S.T.B. degree from Harvard Divinity School in 1969, and a Ph.D. from Yale in 1975. Wilkinson wrote the SYSTAT statistical package and founded SYSTAT Inc. in 1984. After the company grew to 50 employees, he sold SYSTAT to SPSS in 1994 and worked there for ten years on research and development of visualization systems. Wilkinson subsequently worked at Skytree and Tableau before joining H2O.

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    • Continuous Testing Agility 2020 - Data Visualization Summit
      Continuous Testing Agility 2020 - Data Visualization Summit Hamesh Chawla Recorded: May 1 2018 5:30 pm UTC 21 mins
    • Zephyr is leading the global transformation towards DevOps and Continuous Testing Agility.
      During the Data Visualization Summit, Hamesh Chawla, CPO, Zephyr, illustrates the need to break down walls between QA testing, development, and operations, and importance of making the right moves, right now towards creating a seamless delivery pipeline. Hamesh provides an inside view into Zephyr and its mission to lead enterprise clients to achieve full Continuous Testing Agility by 2020—building best-in-class capabilities from Agile to Automation, DevOps to Analytics.

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    • Building a Thriving Data Visualization Community
      Building a Thriving Data Visualization Community Ben Jones, Director of Product Management, Tableau Recorded: Jan 11 2017 6:00 pm UTC 61 mins
    • There’s a verse in Proverbs of the Tanakh that goes like this: As iron sharpens iron, so one person sharpens another. – Proverbs 27:17

      What does this verse mean? It means that when you have a good friend, that friend will push you and make you better and stronger. If you make a mistake, they’ll point it out to you in the right way so that you don’t make it again. If you do something well, they’ll pat you on the back, but they’ll also help you figure out how to do it even better next time. And vice versa.

      That’s the value of the data visualization community, and why the more voices that join, the better off we’ll all be.

      There’s a big qualifier to that statement, though. In order to reap benefits from our interactions with each other, we must avoid two diametrically opposed cultural paradigms which are the antithesis of iron sharpening iron. Attend this webinar to learn more.

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    • 100 Years of Data Visualization – It’s Time to Stop Making the Same Mistakes
      100 Years of Data Visualization – It’s Time to Stop Making the Same Mistakes Andy Cotgreave, Tableau Recorded: Sep 21 2016 3:00 pm UTC 53 mins
    • In 1914, New Yorker Willard Brinton wrote Graphic Methods for Presenting Facts, the first book on telling stories through data and communicating information visually. Today, the volume of data in the world is exponentially increasing, the tools to transform analysis into stories are evolving—and 100 years later, Brinton’s lessons still hold true.

      In this 60-minute webinar, explore:

      - Visualization basics that withstand the test of time
      - The right charts for telling the right stories
      - Brinton’s checklist for communicating data

      Join Andy Cotgreave, Senior Technical Evangelist Manager at Tableau Software, for a 100 year flashback into the best practices that still shape effective storytelling through visual analytics.

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