# AI-powered education analytics: Driving student retention, enrollment, and financial resilience

*Free e-book*

Discover how AI-powered analytics gives education leaders the institutional visibility and decision intelligence to act on emerging risks before outcomes deteriorate.

## Behind rising student dropout and faculty burnout are missed signals.

AI-powered education analytics surfaces them in time.

![AI-powered education analytics: Driving student retention, enrollment, and financial resilience](https://cdn.manageengine.com/sites/meweb/images/analytics-plus/ebook/e-book-on-ai-driven-analytics-for-education.png)

Institutional performance is shaped by decisions across student success, enrollment growth, faculty workload management, and finance. But how many of those decisions are made before the window of opportunity has closed?

Siloed data and static reporting often keep institutions a step behind. AI-powered education analytics removes that barrier—surfacing emerging risks, diagnosing root causes, and putting decision-ready insights in the hands of leaders before the window to act closes.

This e-book explores how educational institution leaders can leverage AI-powered education analytics to drive student retention, proactive faculty workload management, and cost optimization.

### What you’ll gain:

- **Gain institution-wide visibility:** Get end-to-end insights into academic health and predict student dropout risk early.
- **Increase student enrollment:** Pinpoint exactly where prospective students drop off and which recruitment channels drive the strongest outcomes.
- **Reduce faculty burnout:** Identify workload imbalances early and address faculty burnout before attrition.
- **Eliminate budget overruns:** Uncover cost inefficiencies driven by low facility utilization and fee delinquency.
- **Deliver always-on operations:** Predict unplanned downtime and spot cybersecurity risks to build resilient, always-on digital infrastructure.

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