5 Health Care Data Analytics Myths Debunked

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A Data Warehouse

Myth 1: I need a data warehouse before I get started with health care analytics.

While some health care technology vendors believe that a data warehouse is necessary to manage data – it simply isn't true. Because data is constantly changing, placing it within a static warehouse is both inefficient and hinders its usefulness. This was also echoed in a recent Gartner report that estimated that 80 percent of "build it and they will come" health care analytics implementations fail. Instead, what's most important is a continuous and timely flow of information that represents the current state of the organization and its processes, and how that state is changing over time.

Research and Markets recently predicted that the health care data analytics market will grow to more than $34.27 billion by the end of 2022. Though the majority of organizations understand the value of a business intelligence platform, many are still perplexed when it comes to choosing the best solution for their organization. Add to that the mass of health care analytics myths that are plaguing the industry and the selection process can quickly become tedious and overwhelming.

To ease the process, business intelligence provider Dimensional Insight, which was named 2015/2016 "Best in KLAS" in business intelligence/analytics, is debunking the top five health care analytics myths to allow companies to choose the best platform based on their organizational needs.

 

Related Topics : Vulnerabilities and Patches, Resellers, Broadcom, Broadband Services, Supercomputing

 
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