From Disparate Data to an Enterprise-Wide Data Resource

From Disparate Data to an Enterprise-Wide Data Resource

Data integration is a major objective of many public and private sector organizations. Resolving the existing data disparity and creating an integrated data resource is a key strategy to improving data resource quality. However, there are three major problems with most current data integration strategies. First, organizations are not stopping the ongoing creation of disparate data before they begin integrating the existing disparate data. Allowing the continued creating of disparate data simply makes the problem worse because disparate data are created faster than they can ever be resolved through data integration. Second, organizations are not integrating all components of the data resource, including the data descriptions, data structure, data integrity, data documentation, data models, and data management practices. At best, they are concentrating only on the data, not management of the data resource. Third, organizations are not integrating their entire data resource. They are only concentrating on integrating disparate data relating to their current business problems. The presentation is oriented toward the basic concepts and principles for stopping the creation of disparate data, resolving the existing disparate data, and creating a high-quality enterprise-wide data resource that is readily shared. It covers the concepts of a common data architecture, overall data resource quality, a formal data resource guide, meaningful data resource data, formal data integrity rules, a five-tier five-schema approach to data models, architecture driven data models, and coordinated management of the data resource. It will be useful for anyone interested in selling the concepts for stopping the creation of disparate data, integrating disparate data, and creating a high-quality data resource that supports constantly changing business information needs.

The presentation is oriented toward the basic concepts and principles for stopping the creation of disparate data, resolving the existing disparate data, and creating a high-quality enterprise-wide data resource that is readily shared.  It covers the concepts of a common data architecture, overall data resource quality, a formal data resource guide, meaningful data resource data, formal data integrity rules, a five-tier five-schema approach to data models, architecture driven data models, and coordinated management of the data resource.  It will be useful for anyone interested in selling the concepts for stopping the creation of disparate data, integrating disparate data, and creating a high-quality data resource that supports constantly changing business information needs.

Speaker

Michael Brackett has been in the data management field for over 40 years. He has pioneered many new concepts and techniques for managing large data resources and for resolving disparate data, including the common data architecture concept. He has written six books on data management and is a prominent international consultant, speaker, and educator. He is listed in Who’s Who in the West, Who’s Who in Education, and International Who’s Who.

Mr. Brackett is a charter member of the DAMA-PS Chapter and served as Treasurer on the DAMA-PS Board. He has also served as VP Conference Services, President, and Past President of DAMA International. He is the Founder and first President of the DAMA International Foundation, an organization dedicated to developing a formal data management profession. He is currently serving as Past President of the DAMA International Foundation. Mr. Brackett received the DAMA International Lifetime Achievement Award in 2006.

Additional information can be found on Mr. Brackett’s web page at members.aol.com/mhbrackett.

References

Date

Mar 21 2007
Expired!

Time

8:30 am - 11:00 am

Location

Insurance Institute of Canada, 18 King Street East, 16th Floor Toronto (Medium training room)
Website
http://www.google.com/maps?hl=en&q=insurance+institute&near=Toronto,+ON,+Canada&radius=0.0&cid=43723057,-79392486,10361823285632954536&li=lmd&z=14&t=m

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