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Avoiding Data Quality Failure: Identifying Data Quality Pitfalls Before They Happen
sponsored by Pitney Bowes Business Insight
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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.
Interested in this topic, but prefer alternative content formats? Try:
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Available Resources from Pitney Bowes Business Insight
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The Five Must-Have Capabilities for Unbeatable Customer Care
sponsored by Pitney Bowes Business Insight
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Posted: 15 Jan 2010
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15 Jan 2010 |
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Summary: |
Today, firms in the communications industry must relook at how they deliver customer service in order to streamline operations, retain customers and drive business revenue. Read this paper to learn about five, practical, cost-effective opportunities that allow firms to meet market demand and achieve an impressive Return on Investment.
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Event-Driven Intelligence in Telecommunications
sponsored by Pitney Bowes Business Insight
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Posted: 15 Jan 2010
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Published:
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15 Jan 2010 |
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Leading telecommunications companies are finding ways to integrate data into business processes and also automate decisions with on-demand business analytics. This paper can provide you with background on Intelligent Mail®, with an emphasis on the 21 practical ways you can leverage mailstream intelligence to improve your business today.
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Data Management Research Library