Retail transactional data is a rich source of information offering new dimensions for company's competition. The challenge is to turn data into useful insights with business value. One widely used technique for analyzing transactional data is Market Basket Analysis (MBA), which is a data mining technique that studies what customers' are buying together. Thus, MBA is a contingency study and not a correlation analysis. In this paper we present a case study for analyzing retail transactional data

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... sing MBA and use the results as a prescriptive model for sell floor optimal design and for guiding the design of related in-store promotional strategies. Abstract -Retail transactional data is a rich source of information offering new dimensions for company's competition. The challenge is to turn data into useful insights with business value. One widely used technique for analyzing transactional data is Market Basket Analysis (MBA), which is a data mining technique that studies what customers' are buying together. Thus, MBA is a contingency study and not a correlation analysis. In this paper we present a case study for analyzing retail transactional data using MBA and use the results as a prescriptive model for sell floor optimal design and for guiding the design of related in-store promotional strategies.