Ranking Services

India Rankings

The India ranking framework outlines a methodology to rank institutions across the country.
The parameters involved broadly cover- 1.Teaching, Learning, and Resources, 2.Research and Professional Practices, 3.Graduation Outcomes, 4.Outreach and Inclusivity, and 5.Perception. The ranking framework is essential for all institutes across the country. The highest ranking for any institute will open the doors to benefits and impact for an HEI. Meanwhile, the methodology used by the ranking agencies warrants an exhaustive and lengthy process in handling and presenting the data. An institution may need to hire a full-time resource to accomplish this process and track changes made in the method. The method of India ranking involves around 16-18 parameters in five major groups in its data capture system. The whole process could be a challenge for the HEI to handle.

Our Goal

Our goal is to help higher education institutions with this method of ranking, and therefore, we have come up with a technology interface powered by Artificial Intelligence and Data Science models that helps institutions to understand the method and its significance used in the data capture system of the institutional ranking agency. We use this technology interface to show how the current institutional data influence the final score. The expert team at Hazon Technologies also helps institutions to have an Institution Specific Heuristic model so that they can get the checklist for the areas of score improvement.

Our Product – Ranking Score Estimator

Higher educational institutions are interested in knowing how their data inputs to national ranking agencies will reflect in the final score. The challenge is that the agencies do not divulge the formulas, except that it is a comparative evaluation and not absolute scoring. This challenge can be solved using proper statistical methods. The solution is to provide a Heuristic Model from which, colleges can estimate their ranking score. Best yet, they can play with the data and acquire valuable feedback on how they can make policy decisions, that will align to improve their future ranking Scores.

Importance of Ranking Score Estimator

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Quantitative Estimate

RISE (Ranking Intelligence and Score Estimator) uses historic data and statistical modeling to arrive at a Heuristic Model. The heuristic model takes in the institution’s data and accurately quantifies various parameters of ranking, helping the institution in its way forward in quality enhancement.
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Key Decisions

The ranking may affect the funding for the institutions. RISE will support institutions in taking strategic decisions, on policies to better align the areas of score improvement.
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Expert Support

RISE is backed by academicians, data scientists, and engineers. HEIs can use the tool to look for improving their score.
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Unclouded Understanding

The estimator provides a clear understanding of all parameters and data required to calculate them. Further, the estimator also demos the impact of individual data points on the score.
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Analysis of the Data

The estimators’ emphasis is on data analysis. It recommends areas of improvement and gives a peek into the strengths and shortfalls of the institution.
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Time-Saver

The biggest spin-off for the HEIs is in saving time in pre-estimating their ranking score. Since it is relative grading, RISE remains one of its kind, where HEIs spend minimal time estimating their ranking score.