Integrated Decision-Making Based on OLAP

OLAP systems allow flexible and dynamic questions to be asked of big data. By combining OLAP with multicriteria decision-making techniques, we can allow business executives to incorporate insights from real-world data into the systematic evaluation of different business options. This improves the quality of complex decisions and leads to better business outcomes with the same resources.

Abstract

OLAP (Online Analytical Processing) system appears as a revolutionary technology that provides adequate analytic solutions for decision support. Using OLAP, analysts and policymakers are able to process and analyze data in an interactive, fast, and effective way according to several axes. This provides a clear vision of their business at any time and in real time. However, these systems suffer from certain limitations related to the consideration of both the multicriteria and fuzzy aspects of multidimensional data when making decisions. To overcome these limitations, we propose an integrated decision-making prototype based on OLAP system and multicriteria analysis (MCA) to generate a hybrid analysis process dealing with complex multicriteria decision-making situations. This proposed solution, based on our previous contributions, allows the analyst to extract data from OLAP data cube model and analyze them using OLAP operators and MCA methods.

Source: Omar Boutkhoum and Mohamed Hanine, https://link.springer.com/article/10.1186/s40535-017-0041-6#:~:text=OLAP%20(Online%20Analytical%20Processing)%20system,way%20according%20to%20several%20axes.
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