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Best Practices for Governance of Enterprise Reference Data Management

This interactive session discusses common symptoms for the lack of reference data management and how to instantiate governance - either formally or informally.

Product Id: 300148

Training Options

  •   Duration: 75 Minutes  
  • Recorded Access recorded version only for one participant; unlimited viewing for 6 months ( Access information will be emailed 24 hours after the completion of live webinar)
    Price: US$219.00
  • Refund Policy


Experience shows that upwards of 80% of reference data may be used by multiple applications. Clearly, common reference data should be considered "enterprise data" and governed through the Data Governance group. Common reference data often crosses subject area lines and therefore difficult to identify which Data Steward may be responsible for managing it. Moreover, reference data can often be seen as an unwanted stepchild and left behind for applications to manage. However, many of the organization’s metrics and regulatory reporting may now depend upon common reference data.

Why should you attend: Reference Data Management is a valuable tool for the Data Governance team to enable quality and consistency across the enterprise. Often reference data is required to be managed consistently across disparate operational applications in order to effectively meet regulatory and governmental reporting. Inconsistencies and inaccurate aggregations can lead to significant fines, poor public publicity, and negative public reactions leading short term stock loses.

Areas Covered in the Session:
  • Identifying what is "common reference data" & which Data Stewards/SMEs are the trustees when reference data crosses Lines of Business.
  • Dealing with regulatory bodies & leveraging governmental agencies as sources of reference data
  • Creating new ways for informal governance of reference data while leveraging "natural entry points" to take advantage of business events in the business

Who Will Benefit:
  • Chief Data Officer
  • Director - Data Architecture
  • Director-Data Governance
  • Enterprise Solution Architect
  • Data Architect
  • Business Analyst
Lowell is recognized as a thought leader in business metadata/glossaries, enterprise application integration, DW/BI applications, and Data Governance having hands-on experience with over 80 business intelligence implementations. He has also been recognized by W. H. (Bill) Inmon, and is a contributor to six of his books. Mr. Fryman is a co-author of the book “Business Metadata: Capturing Enterprise Knowledge”. Lowell an Data Architect in the Healthcare Practice of Edgewater Technology Inc. Lowell has achieved a number of certifications including Certified Business Intelligence Professional (CBIP) for ICCP/TDWI and has an MSIT degree.
																  Background : 
																	Reference Data Management is a critical tool for the Governance team to use for enterprise business rules and quality management across the organization. 

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