Viral Data in SOA
An Enterprise Pandemic
Author: Neal Fishman
The quality of information in our organizations continues to be suspect and poor. Spurred by the need to eliminate duplication, cut costs and offer greener solutions, organizations have renewed their efforts to centralize IT systems and deploy shared services.
A shared data resource exposed through a layer of services behaves more like a virus, unilaterally affecting all those that touch it. This book deals with treating and preventing harmful data in a Service Oriented Architecture. How badly are you infected?
SOA is big. Information on Demand is big. Compliance (SOX, Basel II, etc.) is big. Master Data Management is big. All of these things require data to be well conditioned: The level of quality in information has never been more important.
- Verizon was sued in 2007 for misstating subscriber numbers.
- Mizuho Securities Co caused a two percent drop in the Nikkei index by placing an erroneous trade in 2005.
- Companies like Target and Safeway have problems linking items to descriptions on their websites.
In a world refocused on consolidation, sharing, and reusing IT resources, now more than ever, organizations need to make sure their information is as perfect as they can make it.
IBM sells many different products aimed at improving data quality. This book would complement those products. For example, Information Server and Information Analyzer, as well as those IBM products that help customers build SOA applications, Master Data Management applications, etc.
About the Author:
Neal Fishman heads the integration forensics program in IBM’s Software Group. He has been involved in many aspects of information technology and has developed many unique perspectives throughout his career. He is co-author of the textbook, Enterprise Architecture Using the Zachman Framework. He has spoken at conferences in North America, Australia, and Europe and has had numerous articles appear in information technology publications. Neal has been a distance-learning instructor for the University of Washington in data resource management and was the Technology Editor for the Data to Knowledge Newsletter. He has served on the standards committees for the IEEE IDEFobject and the Business Rules Group. He was an ExperNet expert for Giga, a member of the IEEE, a board member of the DAMA Atlanta Chapter, and is a Practicing Member of the World Wide Institute of Software Architects. Neal holds IBM certifications in DB2, DataStage, QualityStage, and Information Analyzer.