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Healthcare Business Intelligence and Analytics 2020 Healthcare Business Intelligence and Analytics 2020
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Healthcare Business Intelligence and Analytics 2020
Decision Insights Report

author - Ryan Pretnik
Author
Ryan Pretnik
author - Sam Eaquinto
Author
Sam Eaquinto
 
February 19, 2020 | Read Time: 15  minutes

Current Time Inside Cache Tag Helper: 10/18/2021 3:16:26 PM and Model.reportId = 1599

The healthcare business intelligence (BI) and analytics market has become crowded, with vendors touting a variety of different benefits. Many healthcare organizations are looking to consolidate solutions, but who can meet organizations’ analytics needs and also bring departments together, aggregate siloed data, and drive outcomes in a consolidated way? This report examines 45 BI purchase decisions made over the last 18 months to determine what is driving buying decisions. Is it the solutions’ power/flexibility or the vendors’ experience/relationships? Which vendors are gaining momentum, and which are being left behind?

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Current Time Inside Cache Tag Helper: 10/18/2021 3:16:26 PM and Model.reportId = 1599

Key Findings

  1. Considerations of Microsoft Power BI Surge; Tableau and Health Catalyst Remain Consistent, High Performers
  2. The A-List: Tableau, Health Catalyst, and Microsoft
  3. High Performer Dimensional Insight Not Often Considered; Information Builders Making Healthcare Inroads, Results Still Early
  4. What Happened to IBM and SAP?
  5. Vendor Summaries
  6. Limited or No Performance Data
  7. About This Report
author - Elizabeth Pew
Writer
Elizabeth Pew
author - Jess Wallace-Simpson
Designer
Jess Wallace-Simpson
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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.