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DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10376\n<p>Operationalizing Data
  Governance requires Stewards to learn about practices, and apply them to d
 rive business value.</p>\n<ol>\n	\n
 <p><strong>Value Chain Analysis</strong> helps Stewards highlight areas whe
 re Data Governance can increase value. Applying frameworks such as <strong>
 DMAIC</strong> can ensure Stewards execute projects that have measureable o
 utcomes.</p>\n	\n	\n
 <p>Using the <strong>DMAIC</strong> and <strong>Non-Invasive Data Governanc
 e</strong> frameworks to select projects encourages measureable change whil
 e reinforcing Data Governance best practices and adoption.</p>\n	\n	\n
 <p>Training techniques such as <strong>See/Hear/Do</strong> and <strong>SOD
 OTO</strong> allow for Lead Stewards to execute curriculums that take <stro
 ng>Non-Invasive Data Governance</strong> projects that are relevant to the 
 cohort of Stewards, and deliver tangible results rapidly. <strong>Just-In-T
 ime training</strong> encourages iterative training that minimizes the <str
 ong>Forgetting Curve</strong>.</p>\n	\n	\n
 <p>These training techniques ensure that maturity measurements under the <s
 trong>CMMI V2 Framework</strong> are supported, while avoiding the <strong>
 Lake Wobegon Effect</strong> of inaccurately inflating scoring. Scaling acr
 oss the existing data management practices aligns with the <strong>DMMA Fra
 mework</strong>.</p>\n	\n</ol>\n
DTSTART:20190319T113000
SUMMARY:Transformational Stewardship Training – Tying Stewardship Training 
 to Projects
DTEND:20190319T122959
LOCATION: See Description
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