Inspire 2014 -Expert Panel: Preparing your Data for Visualization in Tableau

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alteryx, Big Data Analytics, Predictive Analytics, Customer Analytics, Spatial Analytics, Big Data Analysis, Geo Spatial Analysis, Customer Intelligence, Business Analytics,Strategic Analytics, data blending, advanced analytics

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  • At a meta level, how does Alteryx feed into the cycle of visual analytics?
    How does one approach data preparation for Tableau? How is it different from just working with Alteryx standalone?
    Rich datasets vs. narrow data sets
    How do you shape data for Tableau?
    What are other data prep issues you run into?
    Do you need to blend structured and unstructured information?
    Is anyone working with data from Hadoop?
    Granularity of data – comparing Alteryx and Tableau
    Spatial
    Performance - Where calculations live – Alteryx vs. Tableau
  • Inspire 2014 -Expert Panel: Preparing your Data for Visualization in Tableau

    1. 1. © 2014 Alteryx, Inc. | Confidential Expert Panel: Preparing Your Data for Visualization in Tableau Presented by… Chris Love Joe Mako Jen Underwood Steve Wexler
    2. 2. © 2014 Alteryx, Inc. | Confidential Introducing Our Panelists Joe Mako • Director of Visual Analytics at Rosenblatt Securities • Tableau Zen Master • Does dashboards on a Mac, also does floors and Windows Jen Underwood • Founder & Principal Consultant at Impact Analytix, LLC • Tableau Zen Master • Picked up a 4-star admiral at the airport in my pajamas Steve Wexler • Principal at Data Revelations • Tableau Zen Master • Leads “Steve Wexler and The Top Shelf” band in NYC • Tableau/Alteryx Consultant at The Information Lab • Alteryx Grand Prix Champion • Has run a marathon through the streets of London Chris Love
    3. 3. © 2014 Alteryx, Inc. | Confidential • How do you see Alteryx fitting into the Cycle of Visual Analytics? • Blending – what blending issues do you run into? • How do you use Granularity of Data to your best advantage? • Predictive Analytics – how much do you do in predictive analytics and what issues do you run into? • Rich vs. narrow data sets • Spatial Analytics – how much do you do in spatial analytics and what issues do you run into? • Shaping – does this come at the end? What are the specific issues? • Performance Issues – What kinds of performance issues do you run into and how do you get around them? Preparing Data for Visualization in Tableau
    4. 4. © 2014 Alteryx, Inc. | Confidential 1 sentence that best describes…. • The main issue with distributing visualizations • Data mart or blend? • The future of predictive analytics • The issues with spatial analytics • My favorite person on social media is (not including this panel of course!) • What I most want to see in a future version of Tableau • What I most want to see in a future version of Alteryx Lightning Round

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