Enriching What-If scenarios with OLAP usage preferences

Abstract

Nowadays, enterprise managers involved in decision-making processes struggle with numerous problems related to market position or business reputation of their companies. Owning the right and high quality set of information is a crucial factor for developing business activities and consequently gaining competitive advantages on business arenas. However, retrieving information is not enough. The possibility to simulate hypothetical scenarios without harming the business using What-If analysis tools and to retrieve highly refined information is an interesting way of achieving such advantages. In this paper, we propose an approach for helping to optimize enterprise decision processes using What-If analysis scenarios combined with OLAP usage preferences. We designed and developed a specific piece of software, which aims to discover the best recommendations for What-If analysis scenarios' parameters using OLAP usage preferences, which incorporates user experience in the definition and analysis of a target decision-making scenario.