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DTSTAMP:20260421T172852Z
DESCRIPTION:Click for Latest Location Information: http://edw2018.dataversi
 ty.net/sessionPop.cfm?confid=121&proposalid=9359\n<p>Many organizations are
  investing in their analytics, data governance,&nbsp;and information archit
 ecture programs - some to enhance existing data infrastructure and capabili
 ties, others just beginning&nbsp;their journey. This session will describe 
 how, based on the speaker&#39;s current experience launching the data strat
 egy at Keystone Foods, to align and optimize the people, process, and capab
 ility investments in order to distribute the costs and risks, while maximiz
 ing opportunities for incremental value in ways that contribute to a long-t
 erm data strategy and avoid the common issues facing disconnected efforts t
 hat yield diminished returns.&nbsp;</p>\n\n
 There are already strong analysts in your organization &ndash; Empower them
  and listen.&nbsp;\n
 Survey and rank the existing analyst output by criticality and consumption 
 &ndash; Those are your initial data governance and data architecture use ca
 ses.&nbsp;\n
 Provide a governance framework for critical data&rsquo;s quality,&nbsp;meta
 data and assembly to reduce&nbsp;the redundant work analysts in the organiz
 ation have to do themselves, allowing them to spend more time on value-add 
 activities (while reducing the risk of inconsistent and incorrect data!).\n
 A pragmatic data architecture then creates more automation of (reduced data
  processing time and error) necessary data assembly work, improved self-ser
 vice analysis&nbsp;capabilities (more capacity for insights), and re-usable
  data assets (shorter project duration and fewer data redundancies).\n\n
DTSTART:20180424T113000
SUMMARY:How to Effectively Launch Concurrent Analytics, Data Governance, an
 d Information Architecture Initiatives
DTEND:20180424T122959
LOCATION: See Description
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