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DTSTAMP:20260420T123306Z
DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10337\n<p>With the shift toward
  augmented analytics and the race to achieve digital business transformatio
 n, data governance may seem like yesterday&rsquo;s news. In reality, data g
 overnance is more important than ever &ndash; and has evolved and matured a
 long with other areas of data management. Companies able to ride the maturi
 ty wave and build upon a solid foundation of data management will be better
  poised for meeting new regulations, competing in the marketplace and deriv
 ing tangible results from new technologies and capabilities.</p>\n<p>The sc
 ope of &ldquo;data governance 1.0&rdquo; is the foundation of many data-dri
 ven organizations, ensuring accountability, quality and control of critical
  data elements and master data. Largely focused on structured data, &ldquo;
 data governance 2.0&rdquo; will extend further up and down the data supply 
 chain to include data acquisition and data usage. Therefore, data governanc
 e will extend to data in flight, not just at rest. This is where the use of
  catalogs and other solutions will enable the governance organization to pr
 ovide guidance, standards and controls to ensure that the appropriate level
 s of rigor are maintained.</p>\n<p>Data Governance 2.0 will also encompass 
 other practice areas like data acquisition, data vendor management and repo
 rts/analytics governance, among others. It will also incorporate unstructur
 ed data, extending to not only the unstructured data prevalent in big data 
 and analytics, but also a company&rsquo;s intranet site, Sharepoint sites a
 nd content on externally facing websites.</p>\n<p><strong>Attendees will le
 arn techniques for riding the data governance 2.0 wave including:</strong><
 /p>\n\n
 Leveraging the current scope of data governance and previous adoption to ex
 tend appropriate practices to cover other data types\n
 Ensuring there is appropriate representation and accountability identified 
 to cover the additional data types\n
 Prioritizing effort based on business objectives\n
 Recognizing that there will be varying levels of maturity across the differ
 ent categories of data, as well as along the supply chain. This will mean t
 hat there will be additional burden on the Data Governance &ldquo;Office&rd
 quo; to maintain project plans, standards, artifacts, training, communicati
 on and other things needed to effectively manage the Program\n\n
DTSTART:20190318T133000
SUMMARY:Data Governance 2.0: How to Ride the Next Maturity Wave
DTEND:20190318T164459
LOCATION: See Description
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