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How Semantic Layers & Prompt Engineering Empower AI Data

Marley was dead to begin with. It's a great opening line and not just because it instantly draws you in, but it's important to the story. If we don't keep in mind the fact...

Higher Ed Data Platform: 6 Key Characteristics for Modern Institutions

Higher education is at a crossroads when it comes to managing and utilizing data. Universities and colleges are generating more data than ever - student information, research...

Does Your Data Help You Answer These 4 Questions to Future-Proof Your Institution?

Leaders at institutions of higher education stand at a crossroads. The landscape around them is changing rapidly as a result of growing external pressures like enrollment...

3 Data Quality Challenges in Higher Ed and How to Improve them With an Enterprise Analytics Initiative

One of the most common refrains we hear from institutions considering implementing an enterprise analytics initiative is concern that they’re “not ready” because they have...

5 Ways to Transform Your Data Culture: A Campus-Wide Checklist

Institutions increasingly recognize the imperative of adopting a robust data culture as part of their strategic processes. This shift is driven by the necessity to remain...

5 Tips to Streamline Your Higher Ed Analytics Platform Purchase

Your institution has decided to fund a higher education analytics platform and is gearing up for a purchase. However, this decision to invest is just the beginning. Even once...

Performance-Based Funding is Catalyzing the Need for Institutional Analytics

The shift to Performance-Based Funding (PBF; sometimes also known as “Outcomes-Based Funding”) as a means of determining state allocations to higher education institutions is...

How to Visualize Data in Higher Education

Accurate, accessible data continues to be one of the most imperative assets available to higher education institutions. While the accuracy and availability of data are...

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