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
Identify ‘at-risk’ and struggling students that need guidance
Analyze
Visualize the factors that have an influence on student performance
understand
Understand the factors with the level to tweak for improvement
Intervene
Compare benchmark data and provide timely intervention inputs
Predict
Help predict future performance by tweaking key parameters
Suggest
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.
