Prioritization of Business Analytics Projects Using Interval Type-2 Fuzzy AHP

Because of emerging technologies, a vast amount of data can be stored and processed very easily. These advances also affect companies and many new projects are being proposed. Business analytics is the umbrella term for these projects and it denotes to the skills, technologies, activities aiming at assessment and exploration of past performance to gain an understanding for better decision making. Data and analytical models are the two main pillars of business analytics. Business analytics project can be grouped into three main groups: (i) descriptive analytics, efforts to understand what has happened in the company, (ii) predictive analytics, efforts to figure out the result of an future event, and (iii) prescriptive analytics use mathematical and computational sciences to suggest decision options to take advantage of the results of descriptive and predictive analytics. In this study a prioritization method for possible business analytics projects using Type-2 fuzzy AHP is proposed. Proposed model is composed of six criteria namely, strategic value, competitiveness, customer relations, improved decision-making, improved operations, and data quality.

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