“COOL is a cohort OLAP system specialized for cohort analysis with extremely low latency, thus suitable for large-scale user behavior analysis. The vision of COOL is to address the inefficiency of underlying database systems processing cohort analysis (cohort queries) that is an emerging and widely-used analysis pattern in various areas.”
“COOL is a very efficient and effective OLAP engine for conducting cohort and OLAP analysis for time series data. By utilizing COOL, we can quickly get clear and explainable user behavioral analytical results which can be used for further downstream tasks. ”
“Cohort analysis is of great importance since it can provide the specificity of the data information and capture comprehensive users' behavioral patterns which cannot be learned by traditional statistical analytics. ”
