Giving Meaning to Raw Data Through Actionable Insights

Analytics NETRA is a visionary school analytics platform that empowers principals, counselors, parents, and even students with a holistic understanding of academic performance. By meticulously comparing historical data and producing predictive insights, Analytics NETRA equips educational leaders with the tools to make informed, strategic decisions. Counselors gain the ability to provide tailored support for students; parents engaged as partners in their child’s education, and students themselves are equipped to chart their own course to success.

Built on Machine Learning Models

Tweak & Test Parameters

Synchronize Data Through API

Engaging Visual Insights

Branded Printable Reports

Analytics in Education

In the dynamic landscape of education, informed decision-making and student success hinge on the profound insights that data can offer. Analytics NETRA, a cutting-edge data analytics tool, stands at the forefront of this transformative journey. Seamlessly integrated with DCNETRA School ERP, Analytics NETRA unlocks the vast reservoir of performance data from students and teachers, and gear up all stakeholders for educational excellence.

Predictive Model


Identify ‘at-risk’ and struggling students that need guidance


Visualize the factors that have an influence on student performance


Understand the factors with the level to tweak for improvement


Compare benchmark data and provide timely intervention inputs


Help predict future performance by tweaking key parameters


Help counselors suggest action items for boosting performance

Key Outcomes

Attainment Analytics

The number and percentage of students achieving below, meeting, and exceeding curriculum standards, which can be customized to suit specific needs.

Cohort Analytics

Evaluate success, competency, and acceptance rates across years, and assess the value addition in the current academic year compared to the past

Progress Analytics

Compare performance across two marking periods and two or more academic years, present results graphically, and generate summary tables with grouping.

Range Statistics

Filtering students within a predefined performance range for a comprehensive understanding of their academic achievements to find areas of improvement.

Model Report

Information about the machine learning model built to find performance influencing factors and predict student performance. Details regarding model accuracy, feature engineering and many more insights.

Performance Analytics

Detailed reports for predicting student performance, interpretation and understanding the positively and negatively impacting factors.

Student Performance Analysis

Comprehensive reports encompassing average performance, attendance, subject-specific achievements, class rankings, and identification of best and worst performers.

Teacher Performance Analysis

Comprehensive reports that include subject-wise class averages, key teacher indicators, student performance ranges, overall class performance, and top / bottom performers.

Want to give meaning to your data?