Metatopia Conference 2007

Master Data Management: Government's Next Technology Weapon

Scott Schumacher Scott Schumacher
Chief Scientist
Initiate Systems, Inc.


Wednesday 11:00am - 12:00pm

Level: Data Management - Intermediate

Master Data Management: The Government’s Next Technology Weapon When the FBI, the Navy, and a group of government integrators all agree on a single technology, it’s time to stop and take notice.

  • The FBI is using this technology underpinning its National Data Exchange (N-DEx) network
  • The Department of the Navy (DON) is using this technology for its Law Enforcement Information Exchange (LInX) initiative
  • Accenture, CSC, IBM, and Northrop Grumman all chose the same technology for the recent National Health Information Network (NHIN) trials
The technology they’re all using? Master data management (MDM) – also known as entity resolution, identity management, or citizen data integration.

In this session, Dr. Scott Schumacher – who helped develop the MDM algorithms being used for the FBI and Navy data-exchange models, as well as the technology underlying all four NHIN prototypes – will discuss these implementations in depth. Dr. Schumacher will also discuss the latest advances in MDM algorithm technology that help better ensure privacy and security, including using a federated data model.
Speaker Bio
As senior vice president and chief scientist, Scott is responsible for the research and development of Initiate Systems, Inc.'s acclaimed algorithms. He has over 15 years of experience with data analysis and development, implementation, and testing of complex algorithm streams. Scott previously worked for XonTech, Inc. where he was responsible for leading advanced surveillance algorithm projects commissioned by the Department of Defense. Scott has a Bachelor of Science degree in Mathematics from the University of California, Davis, and received his Master of Arts and Doctorate degrees in Mathematics from the University of California, Los Angeles (UCLA). Currently a member of the Institute for Mathematical Statistics, Scott also served as an associate professor at UCLA.
Close Window