Towards a Data Analysis Recommendation System
Sara Alspaugh, Archana Ganapathi · 2012
System data is abundant, yet data-driven decision making is currently more of an art than a science. Many orga-nizations rely on data analysis for problem detection and diagnosis, but the process continues to be custom and ad hoc. In this paper, we examine the analytics process un-dertaken by users to mine large data sets, and try to char-acterize these searches by the operations performed. Fur-thermore, we take a first stab at a methodical process to automatically suggest operations based on statistical anal-ysis of previous searches performed. 1