What’s New on the Website
02.17.26
Press coverage
20 Marketing Challenges Leaders Are Facing This Year—And How To Solve Them
01.16.26
New Episode of the Knowledge Forum!
- DivePort: Controlling First-Load Behavior with Defaults
- Squashing vs. Diving: Comparing Spectre Flow and Spectre Dive
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New Episode of the Knowledge Forum!
- DivePort Page Types
- Crosstab: Brand Analysis in NAVO
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Press release
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
Press release
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
New Episode of the Knowledge Forum!
- Using Program Advisor
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12.01.25
Press coverage
Leveraging Advanced Analytics and AI Tools to Derive Actionable Insights from Complex Healthcare Datasets
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How Can Data Positively Impact Social Determinants of Health?
For some patients, healthcare is as simple as an annual physical, or issues connected to their family history. For others, though, there are other factors at play, like Income level, or housing, or access to healthcare. These are the social determinants of health, and understanding their impact is essential to the healthcare industry.
Data is playing a major role in that understanding. Here’s how a team of researchers has had an impact on the industry with their data around social determinants of health, and how organizations can use data to make a difference of their own.
Data, Love, and Reputation: Analytics Lessons from Taylor & Travis
Taylor Swift and Travis Kelce’s engagement has captivated both the pop-culture world and the sports universe. It’s the rare moment when the NFL and the Billboard charts collide, sparking endless speculation, commentary, and analysis. For many fans, it feels like a love story unfolding in real time — but beneath the headlines and highlight reels, there’s a deeper lesson: their story offers surprisingly relevant parallels to how organizations should think about data analytics.
At its core, both love and data are about recognizing patterns, interpreting signals, and making smart choices with incomplete information. Whether you’re tracking a relationship or a revenue stream, the fundamentals are remarkably similar.