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ABSTRACT:
Improving enterprise-wide information quality is not a cakewalk. To solve data quality issues effectively, new policies and technologies must be incorporated in operational processes, system development lifecycles and organizational culture -- all challenging tasks for many organizations. Technology history is full of horror stories about companies that have attempted to solve data quality problems only to find them more daunting, expensive and complex than they ever imagined. Though these failed initiatives were all unique, they have some common patterns. In this webcast, learn from the mistakes of the past and get expert advice for creating successful data quality management programs.
In this webcast, find out the most common data quality pitfalls, learn how to identify potential problems and get expert advice for designing successful data quality programs:
- Find out the most common traps organizations fall into when designing data quality programs and hear how to avoid them
- Get expert insight into navigating the people, process and technology issues that can hinder data quality efforts
- Learn how to recognize and monitor potential issues early on, and get expert advice for dealing with them before they become show-stoppers
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SPEAKER:
Evan Levy
Partner and co-founder of Baseline Consulting
Evan Levy is a partner and co-founder of Baseline Consulting, a professional services firm concentrating on enterprise data issues. He leads Baseline's Technology Consulting team and has attacked data strategy and management issues at Charles Schwab, Dell, Microsoft, and various other clients. He regularly presents at conferences, serves as a judge for industry best practice awards and his work is often featured in leading industry publications. Levy is the co-author of the book, "Customer Data Integration: Reaching a Single Version of the Truth."
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