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DESCRIPTION:Click for Latest Location Information: http://edw2022.dataversi
 ty.net/sessionPop.cfm?confid=129&proposalid=13354\nIn large organizations, 
 there are usually pockets of data Governance at varying levels of maturity 
 and excellence. The increasing need for Information Privacy compliance, Imp
 roved Data Quality and Data Security requires an enterprise level
  line of sight to all critical data within an organization's ecosy
 stem. This heightened level of data centricity calls for a new ap
 proach to the way Data is Governed in organizations\nWhile Enterprise level
  Centralized data Governance is critical in this current Privacy and Securi
 ty compliance heavy climate, Centralized Governance is often perceived as a
  threat to pre-existing governance structures and teams within the organiza
 tion. It is also often perceived as restrictive and burdened with heavy bur
 eaucracy. The goal of this presentation to describe an approach to Gov
 ernance, that establishes am effective centralized Governance structur
 e while allowing autonomy to pre-existing and even new functional and Depar
 tmental data governance teams.\nThe proposed approach has the benefits of&n
 bsp;synergies while remaining nimble empowering a central oversight yet aut
 onomizing and standardizing functional area Governance apparatus, resulting
  in increased efficiency, that meets the needs of both centralized lin
 e of sight to relevant data that must be managed centrally to meet privacy 
 laws and regulation, while allowing individual departments the flexibility 
 to function independently within a set of guardrails – this is the Fr
 anchise Model of Data Governance, which extends the current federation mode
 l
DTSTART:20220323T083000
SUMMARY:Data Governance — The Franchising Model
DTEND:20220323T092959
LOCATION: See Description
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