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Critical Governance, Ethical, and Regulatory Considerations in Deploying AI Solutions and How to Address Them
04.01.26
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385+ revenue cycle management companies to know | 2026
03.31.26
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AI Can Quickly Become a Confident Liar. Dimensional Insight Explains How to Prevent It.
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02.17.26
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20 Marketing Challenges Leaders Are Facing This Year—And How To Solve Them
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
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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
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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Healthcare Organizations Need Flexible Analytics to Adjust to Changes
The first thing many people think of when it comes to healthcare is something like a visit to a doctor. While that is certainly an important part of healthcare, the industry covers so much more than that. Important work is being done in everything from finding new medications to making healthcare more affordable.
Data is at the center of all aspects of the healthcare industry, including the decisions that lead to those types of major changes. Here are a couple of recent instances where data has played a role in changes meant to improve people’s lives. Let’s take a look at the decisions themselves, and how analytics factors in.
Data and Analytics can Help Show the Way to Safer Streets
Whether we are walking through a familiar neighborhood or driving on a highway during a daily commute, we all recognize danger zones. This curve is dangerous. People always go too fast down this street. No one stops at this crosswalk. The observations are anecdotal, but when accidents happen at those locations, people often aren’t too surprised.
Sometimes, officials work to get more than anecdotal data about those dangerous spots and then use that information to take action. This can apply everywhere from car crashes on busy highways to streets with high levels of pedestrian traffic. Let’s take a look at some of the instances where data is used to make a difference in road safety, and how your organization can use data in a similar way to make improvements.