Month: January 2016

Three Missing Features in Most Student Information Systems (SIS)

There is a paradox:  Humanity’s most developed organizations and systems are based upon what is learned in our education systems; yet, the field of education lags behind nearly all others.  One such area I have seen, is how feature-poor Student Information Systems (SIS) are.  Despite such systems being case studies in many database books, most of these systems do not use any data science methods to improve operations.  Specifically, I have usually not seen active security, predictive analytics, nor even resource optimization as features.  Here is why these are important to have, and my invitation for SIS providers to come into the 21st century.

Read More →