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Enterprise Business Intelligence Perception 2008
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Enterprise Business Intelligence Perception 2008
Opening the Flood Gate

June 6, 2008

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In this report, KLAS investigates the sudden interest associated with the business intelligence (BI) market in response to multiple requests, regardless of the market's immaturity, from provider CIO partners for information about the application of BI tools in healthcare at the enterprise level.

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HtmlReportContent Current Time Inside Cache Tag Helper: 5/10/2021 6:06:07 PM and Model.reportId= 448 and Model.HtmlReportContent_LastWriteTimeUtcInTicks=637406508585532529

Among other objectives, KLAS set out to find out the following:

  • Who has an enterprise business intelligence strategy?
  • At what stage of evolution is this market?
  • Which vendors are servicing this market?
  • How do providers plan to achieve their objectives?

Professionals from more than 140 healthcare organizations shared their perceptions and opinions with KLAS regarding business intelligence vendors in this 200 page report. Vendors included in this perception study were Avega (MedAssests), Business Objects (SAP), Cerner, Cognos (IBM), Eclipsys, Lawson, McKesson, Microsoft, Oracle, Siemens.

Enterprise business intelligence was defined as a single-vendor solution that is capable of pulling together clinical and financial data for advanced reporting and analysis purposes, and then presenting actionable information to hospital executives and managers.

Perception studies focus on provider perceptions rather than actual performance scores in the marketplace.

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This material is copyrighted. Any organization gaining unauthorized access to this report will be liable to compensate KLAS for the full retail price. Please see the KLAS DATA USE POLICY for information regarding use of this report. © 2021 KLAS Research, LLC. All Rights Reserved. NOTE: Performance scores may change significantly when including newly interviewed provider organizations, especially when added to a smaller sample size like in emerging markets with a small number of live clients. The findings presented are not meant to be conclusive data for an entire client base.