Suggesting assess queries for interactive analysis of multidimensional data

Assessment is the process of comparing actual to expected behavior a business phenomenon and judging outcome comparison. The assess querying operator has been recently proposed support assessment based on results query data cube. This requires (i) specification an OLAP determine target cube; (ii) reference cube comparison (benchmark), which represents performance; (iii) how perform comparison, (iv) labeling function that classifies result this Despite adoption SQL-like syntax hides complexity process, writing complete statement not easy. In paper we focus making user experience more comfortable by letting system suggest suitable completions for partially-specified statements. To end propose two interaction modes: progressive refinement auto-completion, both starting from partially declared user. These modes are evaluated in terms scalability experience, with experiments made real users.