Operationalizing Data Governance and Data Quality
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  Pete Rivett   Pete Rivett
Chief Technology Officer
Adaptive, Inc.
 


 

Tuesday, May 1, 2012
11:15 AM - 12:05 PM

Level:  Business / Non-Technical


Many firms today are struggling to "operationalize" data governance and quality. A key challenge continues to be enabling business and IT to manage business information effectively. The focus of this session is to provide insights and best practices for incorporating data governance, stewardship and data quality into everyday business operations.

The session will address the following:

  • Why do you need to operationalize governance, quality - regulatory imperatives, compliance (it’s no longer optional)?
  • What is required to operationalize data governance and data quality?
  • What is a business catalog? How is it an enabler?
  • What are business models versus IT models?
  • How do you leverage an OMG standards based business application to manage business information - glossaries, ontologies, rules?
  • Operationalizing data governance and stewardship workflows.
  • Who should be involved? How do you start?
  • Establishing proper business cases.


Pete Rivett is CTO of Adaptive Inc, a company specializing in the application of metadata and repositories to enterprise modeling and bridging the gap between business and IT. Pete has spent his career in modeling and the development of repository and metadata management software. He works with customers on leading edge projects and is a regular conference speaker. He is heavily involved in the Object Management Group (OMG), sits on its Board and Architecture Board, and is active in most OMG modeling standards. He is on the Leadership Team for the Financial Industry Business Ontology (FIBO) group and co-chairs the Revision Task Forces for the Meta Object Facility (MOF) and the Ontology Definition Metamodel (ODM), and has a leadership role in the Information Management Metamodel (IMM) and MOF2RDF submissions.


   
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