Avoiding Data Quality Failure: Identifying Data Quality Pitfalls Before They Happen
by Pitney Bowes Business Insight

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. View this webcast and learn from the mistakes of the past and get expert advice for creating successful data quality management programs....
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