Agenda

“Data Integration Using Architectures and XML”

Friday, February 14, 2003

8:30 A.M. - 9:00 A.M.

Breakfast Buffet and Registration

9:00 A.M. - 9:15 A.M.

Welcome

9:15 A.M. - 10:15 A.M.

Michael Brackett
Data Architecture- Foundation for Integration and Quality

10:15 A.M. - 10:30 A.M.

Break

10:30 A.M. - 11:30 A.M.

Dr. Peter Aiken
XML- Strategic Implications for IT Managers

11:30 A.M. - 11:45 A.M.

Closing Comments

Data Architecture- Foundation for Integration and Quality
by Michael Brackett

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.

Michael Brackett
Mr. Brackett has written six books on the topic of application design, data design, and common data architectures. His books on Data Sharing Using a Common Data Architecture and Data Resource Quality: Turning Bad Habits into Good Practices are seminal works for data resource management. He has written many articles and is a well-known author, speaker, and trainer on data resource design. Further information can be found at members.aol.com/mhbrackett.

XML- Strategic Implications for IT Managers
by Dr. Peter Aiken

This presentation shows you how to quickly and easily start incorporating XML capabilities into your organization. XML-based technologies permit new and more extensive integration possibilities and can be implemented with little or no change to existing systems. Understanding these capabilities permits organizations to make better decisions regarding the adoption and use of XML and associated technologies. Thus equipped, organizations can develop XML-based architectures permitting them to implement solutions that are solid foundations for future development and not just the latest "silver bullet."

Topics covered include:

How the existing XML component architecture ensures that it can provide the basis for solving many forms of data integration
How XML can compliment ERP initiatives and (in case you have not yet jumped onto the ERP bandwagon) how XML can help you save money on your planning and implementing your ERP.
Why XML is already the cornerstone of e-business and e-commerce
How organizations can easily and tangibly profit from XML-based information delivery portals.

Dr. Peter Aiken
Pater Aiken is an Associate Professor of Information Systems and Director of the Institute for Data Research. He has worked with many organizations to help them form data management strategies and evaluate the use of new technologies within the area of data engineering and its relationship to systems and business engineering. He is the author of Data Reverse Engineering and Clive Finkelstein ’s co-author of Building Corporate Information Portals. He has lectured internationally on these and related topics.