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DTSTAMP:20260606T083152Z
DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10564\n<p>In 2019, Gartner pred
 icted 80%+ of analytics insights won&rsquo;t deliver outcomes through 2022&
 mdash;despite ongoing and sizable investments in technology and data. Execu
 tives are worried about having an AI strategy. Data scientists worry about 
 getting their models to be as accurate as possible. IOT teams stay busy jug
 gling telemetry, alerts, and APIs. Report developers do their best to visua
 lize the data, and engineers try to glue it all together and ship it. Howev
 er, if business value is dependent on specific users engaging successfully 
 with a decision support application or data product, then teams must design
  these solutions around the people using them&mdash;not the data or technol
 ogy. Human-centered design provides a process to help teams discover, defin
 e, and fall in love with customer problems and needs so that solutions enco
 urage meaningful engagement and outcomes, and the business realizes value f
 rom its investment in analytics. In this mini-workshop, Brian will share so
 me common causes of low engagement with data products, introduce the design
  process, and teach attendees to apply one design technique in a small grou
 p setting. Additionally, Brian will:</p>\n\n
 Help attendees learn to identify various user experience problems with data
  products that go beyond visual interface issues\n
 Inform attendees about the human-centered design process so they start desi
 gning their tools around outcomes instead of outputs\n
 Provide a self-assessment guide attendees can use to diagnose the design of
  their data products and decision support applications\n\n
DTSTART:20190321T094500
SUMMARY:Empathy: The Secret Ingredient to Designing Engaging Data Products 
 and Analytics Tools
DTEND:20190321T104459
LOCATION: See Description
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