The Sensitive Data Discovery Revolution
Alex Gorelik
Co-Founder and Chief Technology Officer
Exeros, Inc.
March 7, 2007
7:30 AM - 8:00 AM
Level: Advanced
“Data Governance” is top of mind for many corporate
managers as the regulatory environment is becoming more rigorous. Businesses
face mounting pressure to discover and protect hidden sensitive data
elements, create master data repositories and reduce data inconsistencies
across dataset boundaries. The first step for any of these kinds of
data governance efforts is very basic: DISCOVERY: You can’t manage what
you can’t find!
In the past, companies have attempted to use metadata to answer these questions. The problem is that metadata reflects what people assume is in their database…not the reality of what really exists. Learn how a new methodology called “data-driven mapping” and an accompanying technology eliminates the guesswork with a fact-based approach that efficiently examines millions of rows of data values to automatically discover hidden sensitive data, forgotten business rules and unknown data inconsistencies across disparate datasets. Customer case studies will include:
In the past, companies have attempted to use metadata to answer these questions. The problem is that metadata reflects what people assume is in their database…not the reality of what really exists. Learn how a new methodology called “data-driven mapping” and an accompanying technology eliminates the guesswork with a fact-based approach that efficiently examines millions of rows of data values to automatically discover hidden sensitive data, forgotten business rules and unknown data inconsistencies across disparate datasets. Customer case studies will include:
- One of the world’s major credit card companies using this approach to quickly and affordably create an enterprise data flow map
- One of the oldest and largest insurance companies identifying hidden sensitive data for de-identification prior to shipping overseas for outsourced development
- the nation’s largest mutual fund company uncover forgotten business rules for a corporate master data management database.
Mr. Gorelik is responsible for the company's technical vision, direction and product development. He spent the last 20 years developing cutting edge data-integration technology. Mr. Gorelik founded Exeros in 2002 after spending several years helping large IT organizations integrate their systems, and experiencing first-hand the challenges of mapping data in complex environments. From 1995 to 2000 Mr. Gorelik was co-founder, Chief Technology Officer and Vice President of Engineering at Acta Technology (acquired by Business Objects in 2002) where he spearheaded the development of Acta's industry leading data extract-transform-and-load, or ETL, solution ActaWorks, and one of the first enterprise information integration (EII) products, ActaWorks Real-Time. Prior to Acta, Mr. Gorelik managed development of the Replication Server product at Sybase and worked on Sybase's strategy for enterprise application integration (EAI). Earlier, he worked on database kernels at Amdahl Design Automation group. Mr. Gorelik holds a BS in Computer Science from Columbia University School of Engineering and a Masters in Computer Science from Stanford University.