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EIMInsightThe Journal of the Enterprise Information Management Institute
EIMInsight · Volume 1 · Issue 11

January 2008

7 articles

  1. Avoiding Meta-Chaos Making Metadata Active … and Smart

    Last month’s article left us with the troubling concept of “Mooers’ Law”: “An information retrieval system will tend not to be used whenever it is more painful and troublesome for a customer to have…

    By Ian Rowlands · Revised edition published at EWSolutions
  2. The Cognitive Dimensions of Knowledge Management

    Knowledge Management (KM) is frequently described in terms associated with the IT infrastructure needed to implement solutions that facilitate KM processes such as representation, capture, assimilation, and delivery of information within an organization. This…

    By Jerry Kurtyka · Revised edition published at EWSolutions
  3. Do Healthcare Providers Need a Data Warehouse?

    Most healthcare providers are active building, installing, or enhancing data capture systems. Many are focused on developing, implementing, or revising an Electronic Medical Record (EMR) that can be a composite repository of much of…

    By Bruce Johnson · Revised edition published at EWSolutions
  4. Data Governance and “Churchill's Adaptive Enterprise: Lessons for Business Today”

    Readers of EIMInsight magazine (this publication), and others I have written for can tell that I am an avid reader; one of my favorite subjects is history. Over the years, I have read many…

    By Anne Marie Smith · Revised edition published at EWSolutions
  5. Improving Data Quality is Hard Work - Guest Author James Funk

    Recently the World Trade Organization heard testimony from the European Union that the Boeing Company “receives lavish government subsidies that give it an unfair competitive advantage over rival Airbus SAS.” It also heard testimony…

    By Richard Wang · Revised edition published at EWSolutions
  6. Managing Data Warehouse Schedule Expectations

    There have been a number of data warehouse projects that any outside expert observer would have labeled as successful. Within the organization, however, the projects were considered failures. They were considered failures because management…

    By Sid Adelman · Revised edition published at EWSolutions
  7. Managing Meta Data for the Business: IT Portfolio Management - Part 3

    Over the years, we have performed dozens of datawarehousing assessments. During these assessments, clients are routinely asked how much they spend annually on data warehousing. Most cannot accurately estimate what they actually spend. In…

Also in Volume 1

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