• Update: Pitney Bowes to buy Firstlogic

    Pitney Bowes expanded its presence in the data quality market by acquiring Firstlogic, shrinking the number of pure-play vendors and vendor options.

    Barney Beal5,165 pointsBadges:
  • Data quality violations, part 3

    And then of course, there's the issue of referential integrity as a category of potential data quality errors.

    wmcknight845 pointsBadges:
  • Data quality market consolidating

    With the purchase of Evoke Software, Similarity has its eye on the North American data quality market.

    Barney Beal5,165 pointsBadges:
  • Definitions of data quality

    Data quality is about the data meeting user expectations.

    wmcknight845 pointsBadges:
  • Data quality: Beware the dirty things your customers see

    Think you know what "customer data" really means? Guest columnist Tom Redman proposes a new way of defining customer data and suggests that the quality of data your customers see might be more critical than you realize.

    ITKE376,290 pointsBadges:
  • Trillium zeroes in on the user

    One analyst says you won't see any technology breakthroughs in the new data quality release, but you will find some neat usability additions.

    Barney Beal5,165 pointsBadges:
  • Report: Half of data warehouse projects to fail

    With 50% of data warehousing projects expected to fail over the next three years, companies need to keep bad data from getting into their systems.

    Barney Beal5,165 pointsBadges:
  • Data quality market evolves as interest ramps up

    The data quality market has seen some consolidation in recent years and, as bad data continues to haunt the enterprise, that should continue.

    Barney Beal5,165 pointsBadges:
  • Getting BI and data quality together

    Clean data is vital to an effective BI project, but the need for integration between the two technologies is not as clear cut.

    Barney Beal5,165 pointsBadges:
  • Expect data management challenges with S&OP deployment

    Rather than system-to-system integration issues, companies embarking on S&OP are likely to face challenges in data quality and data governance.

    BStackpole915 pointsBadges:

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