5 Health Care Data Analytics Myths Debunked

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End Game

Myth 3: I need to know my exact goals at the outset.

Being flexible and malleable when managing and analyzing data is critical for success. Data is constantly changing, and so should your strategy. While concrete plans help to outline goals, it is equally important to make sure that your business intelligence platform is agile. It should allow you to observe what is and isn't working and refine your goals and objectives accordingly, while highlighting the "quick wins" along the way.

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.


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