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Dimensional Insight named a Strong Performer in the 2025 Voice of the Customer for Analytics and BI
Distinction in Gartner Report Is Based on Feedback and Ratings from End-User Professionals
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Dimensional Insight Recognized in KLAS 2025 Consistent High Performers Report
Recognition underscores Dimensional Insight’s long-term commitment to trusted partnerships, measurable outcomes, and customer satisfaction in healthcare analytics
12.05.24
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- Using Program Advisor
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12.01.25
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Leveraging Advanced Analytics and AI Tools to Derive Actionable Insights from Complex Healthcare Datasets
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Getting Employees on Board Early Is Key to Business Intelligence Success
The most important aspect of an organization’s transition to analytics is the data itself. If the data is not reliable, nothing else matters. You need to be able to trust that the numbers you are working with are accurate in order to improve the way you do business.
There’s a very close runner-up, though, when it comes to ranking importance. Different companies might have different priorities, but the one that should come in right behind the data is the buy-in from stakeholders. Let’s take a look at why this is so important, and how you can get people on board.
10 Questions Every Healthcare Analytics RFP Should Ask
Healthcare organizations spend a tremendous amount of time evaluating analytics platforms. RFPs often stretch for dozens of pages and include hundreds of requirements covering everything from security and architecture to visualization tools and artificial intelligence capabilities.
There is nothing wrong with evaluating technology. The problem is that many healthcare analytics RFPs focus heavily on features while overlooking the factors that ultimately determine whether an analytics initiative succeeds.
Two departments are looking at the same metric and getting different answers. A report that was supposed to support a strategic decision turns into a discussion about methodology. Analysts spend days reconciling numbers while leaders wait for answers. Most healthcare organizations have experienced some version of this scenario. Yet many analytics RFPs devote far more attention to dashboards, databases, and AI features than to the questions that help prevent these problems in the first place.
Healthcare organizations evaluating analytics platforms may encounter solutions from Epic, Oracle Health, MEDITECH, Health Catalyst, Innovaccer, Arcadia, Dimensional Insight, and others. While these solutions differ in their approach, the most successful analytics initiatives tend to address the same fundamental challenges.