Our validated K-MAAP© algorithms provide research universities, academic leaders and policymakers with quantitative and statistical information to assess and predict academic productivity, impact return-on-investment, and efficiency.
Praestantia's Academic Analytics provide descriptive, predictive and prescriptive academic information. We use K-MAAP© data, statistical algorithms, modeling and data mining techniques to forecast future probabilities and trends based on past performance.
K-MAAP© data sets are extensible - that is, they can be used for multiple analytic purposes, to build reports, or our customized, interactive Academic Dashboards. Easy to use, smart products with no programming required.