Data management is an overarching term that refers to all aspects of creating, housing, delivering, maintaining and retiring data with the goal of valuing data as a corporate asset.

CommentaryHIT leaders frequently tell us there's been a sea change in their relationships with board and top C-suite executives. After years of trying to get heard, the head honchos now "get it" technologically, acknowledging the mission-critical importance of IT through increasingly large investments.
It's game time! A fun metaphor featuring the data steward as referee.

Special thanks to SAS Best Practices for the content and images of this slide show.
BlogA recommendation of an excellent survival analysis seminar in Philadelphia the middle of July.
Information Management NewsData analytics vendors were out in force on the exhibit floor of the Healthcare Financial Management Association annual conference last week in Las Vegas.
Information Management NewsEighty percent of health plan data is unstructured. Text mining can transform it into a format open to analysis.
Information Management NewsMetadata needs to be organized for data sharing to be productive, for the simple reason that users need to know what the data is.
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Information Management NewsAdvice on some of insurance IT executives' biggest challenges, including data security, cloud computing, and recruiting and retaining talent was offered during a town hall meeting at last week’s IASA conference.
New Product NewsIn this week's new product news, Tableau, Cambridge Semantics, Pentaho, and a host of others introduce new or updated products and services
Information Management NewsWells Fargo and the online lingerie store True&Co have something in common: both are using analytics to improve the customer experience
BlogKey takeaways from the new Forrester Wave about Data Governance Tools
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Information Management NewsAll companies are aware of the growing risk of cyberattacks, yet few are taking the steps necessary to protect critical information. The key? Senior managers need to lead.
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ColumnHow today’s life sciences companies are embracing a data unification strategy to become more data capable organizations
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