Matteo Francia, Matteo Golfarelli, Patrick Marcel, Stefano Rizzi, Panos Vassiliadis.
Assessment is the process of comparing the actual to the expected behavior of a business phenomenon and judging the outcome of the comparison. In this paper we propose assess, a novel querying operator that supports assessment based on the results of a query on a data cube. This operator requires (1) the specification of an OLAP query over a measure of a data cube, to define the target cube to be assessed; (2) the specification of a reference cube of comparison (benchmark), which represents the expected performance of the measure; (3) the specification of how to perform the comparison between the target cube and the benchmark, and (4) a labeling function that classifies the result of this comparison using a set of labels. After introducing an SQL-like syntax for our operator, we formally define its semantics in terms of a set of logical operators. To support the computation of assess we propose a basic plan as well as some optimization strategies, then we experimentally evaluate their performance using a prototype.
Local copy of the paper (PDF)
Please visit my page on a paradigm shift for OLAP for a full description of the saga for a new OLAP.
A poster for the paper
A 30" pitch video is available as a mp4 video.
A 10' video presentation is available as a youtube video and an open-proceedings video.
