What is Education Analytics?

Education Analytics is the process of analyzing academic, administrative, and behavioral data to improve decision-making in schools, colleges, and educational institutions. At Insight Mantra, we help institutions uncover key trends in student performance, teacher effectiveness, and resource utilization — all using data you already have.

We focus on four major types of analytics that serve different stages of your business decision-making:

Descriptive Analytics

This answers the question: “What happened?”

• Analyze student performance across subjects and semesters.
• Monitor attendance, dropout rates, and course completion.
• Track teacher performance and student feedback.

Diagnostic Analytics

This goes deeper to ask: “Why did it happen?”

By examining causes behind the trends

• Understand reasons behind low student engagement.
• Identify subject-wise or grade-level learning gaps.
• Analyze faculty-wise course outcomes.

Predictive Analytics

What will happen next?

• Predict students at risk of failing or dropping out.
• Forecast enrollment trends and staffing requirements.
• Estimate future training or infrastructure needs.

Prescriptive Analytics

What should you do about it?

This is where you get recommendations:

• Recommend intervention strategies for struggling students.
• Suggest course improvements based on learning outcomes.
• Optimize batch sizes and timetable design.

What are the benefits of such analytics?

Student-Centric Learning

• Identify learning gaps early.
• Personalize content and support based on performance data.
• Improve retention and academic success rates.

Faculty & Curriculum Insights

• Measure teacher impact and class outcomes.
• Align curriculum with performance and feedback data.
• Track faculty workload and optimize resource allocation.

Institutional Management

• Improve admission forecasting and seat planning.
• Monitor overall academic performance in real-time.
• Automate reporting for accreditation and compliance bodies.

Key Layers in Sales Analytics Solution:

Data Collection Layer

• Pulling data from Student ERP, Excel databases, Google Forms, LMS (Learning Management Systems), Attendance Systems.

Data Cleaning & Processing Layer

• Removing duplicates, standardizing formats, and preparing usable datasets.

Analytics Engine

• Using formulas, pivot tables, or Power BI visuals to generate insights.

Reporting & Sharing Layer

• Dashboards, visual summaries, and secure online access via Power BI links.

Want a hands-on example?

Let Insight Mantra help you analyze your past, plan your future, and grow smarter.

Ready to take control of your data?

Insight Mantra helps educational institutions move from reactive decisions to proactive improvements — powered by data.