Logistic Regression: A Novel Approach to Implement in Business Intelligence

Abstract: Business Intelligence is defined as a set of mathematical model and analysis methodologies that exploit the available data to generate information and knowledge useful for complex decision-making processes.[1] Business Intelligence encompasses all aspects of gathering, cleansing, mining, storing and analyzing data as well as disseminating the insights to the right decision makers. Data warehousing and analytic modeling are as much a part of a BI strategy as are visualization tools and digital dashboards [1].Decision tree learning is the most popular and powerful approach in knowledge discovery as well as in data mining. This is used for exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning uses a decision tree as a predictive model which maps observations about an item to conclusions about the item's target value. Classification algorithm processes a training set containing a set of attributes. There is a growing popularity of Internet as a medium of information search, communication link and online buying worldwide including India[2].This paper highlights the research opportunities in Business Intelligence [BI]. It also analyses the statistical method Logistic Regression. Keywords: Business Intelligence, Data Mining, Buyer Behaviour Prediction, Decision Making, Knowledge Management.