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DATA ANALYTICS

Automate to Understand

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DATA ANALYTICS

Automate to Understand

Artificial intelligence and automation give higher education institutions better tools for analyzing data than ever before, but picking the right tools from a crowded marketplace has never been more difficult. Check out our coverage below to maximize everything AI-powered analytics can do.

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Best Practices for Managing Institutional Data
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3 Areas of Focus to Elevate the Student Experience
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How to Personalize the Student Experience with Data and AI
Aerial shot of the Kendeda Building at Georgia Tech

University Buildings Work Smarter, Not Harder
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6 Strategies for Educating the AI Workforce
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How to Craft a Generative AI Use Policy in Higher Education
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Resilient Higher Education Institutions Adapt to Changing Conditions
The Ohio State University's Evan Derr and Jim Null seated inside Ohio Stadium.

AI-Driven Analytics Help Ohio State University Manage Stadium Crowds
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How Colleges Leverage Data to Retain Students as the Enrollment Cliff Looms

College Students

How Does Student Lifecycle Management Contribute to Institutional Success?
Students in class lecture

What Is Student Lifecycle Management, and How Does It Contribute to Student Success?
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How Can Biometrics Be Used in Higher Education Classrooms?
Susan Grajek

EDUCAUSE 2023: Top 10 IT Issues List Focuses on Institutional Resilience
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How Modern Data Platforms Support Higher Ed Data Governance
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How Educational Institutions Can Benefit From Full Lifecycle Device Services
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Data Governance in Higher Ed is Critical. Here’s How to Achieve and Sustain It.
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Gates Foundation Awards Grant to Help Universities Make Data-Driven Decisions
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How Higher Ed Is Supporting the Growing Big Data Workforce
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How Learning Analytics Impacts Higher Education
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Holistic Communication Plans Help Enact Change in Higher Ed IT
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Data Analytics in Higher Education Improvements Require Buy-In From All
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Data Warehouses vs. Data Lakes: How Can Universities Store Large Data Sets?
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3 Foundational Models Shaping Higher Ed IT
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