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Analyse your data to support decision taking

Candidates analysis

Qualification of candidates

Decision helping index

What is an algorithm support?

Setting up an algorithm is to allow a higher education institution to analyse a large amount of data in a short period of time, and concentrate results of this analysis to help decision taking based on many criteria. Schools and Universities have many sets of data available in the incoming and outgoing mobility fields. They could benefit from this data to take difficult decision: scholarships, destination choices, partner analysis by field, alumni support, incoming student selection, new services for foreign students, financial arbitrage.

Origins : to analyse student motivation

At the beginning, HigherEdMe set and used several algorithms to analyse student motivation to go abroad. HigherEdMe receives several hundreds of study abroad wishes every week and needed to sort profiles to display the best ones first to the eyes of the recruitors. The idea was to help them save time and money, by focussing them on better potential conversions.

Several thousands of data items

These algorithms are able to process several thousands of items to position them on graphs and get global information, as well as give a mark on specific criteria, to group and compare them.

Get the best out of it

The final user is usually not trained to process the results of algorithms, so simplification is mandatory to get the best out of it.

In the case of motivation, an index has been created, to express in a nutshell what more than 30.000 calculations are saying. That is how all the algorithm power can be seized efficiently.

To help decision taking

Combining these simplified results aims at helping decision taking, by giving an instant vision of large amounts of data without having to get the details.

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