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Lesson #2: > MEANING OF BUSINESS ANALYTICS > EVOLUTION OF BUSINESS ANALYTICS > SIGNIFICANCE AND USAGES OF BUSINESS ANALYTICS > CHALLENGES FOR BUSINESS ANALYTICS > USERS OF BUSINESS ANALYTICS > MAIN SOFTWARE USED FOR BUSINESS ANALYTICS > THE COMPONENTS OF BUSINESS ANALYTICS
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ANALYTICS is a field which combined following into one:
SPSS – SPSS Statistics is a software package used for statistical analysis. Long produced by SPSS Inc., it was acquired by IBM in 2009. The current versions (2014) are officially named IBM SPSS Statistics. MS-EXCEL – Microsoft Excel is a spreadsheet application developed by Microsoft for Microsoft Windows. It features calculation, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications. THE BUSINESS ANALYTICS PROCESS THE COMPONENTS OF BUSINESS ANALYTICS There are 6 major components/categories in any analytics solution: DATA MINING – Create models by uncovering previously unknown trends and pattern in vast amounts of data e.g. detect insurance claims frauds, Retail Market basket analysis. There are various statistical techniques through which data mining is achieved. ➢ Classification (when we know on which variables to classify the data e.g. age, demographics) ➢ Regression ➢ Clustering (when we don’t know on which factors to classify data) ➢ Associations & Sequencing Models TEXT MINING – Discover and extract meaningful patterns and relationships from text collections. E.g. ➢ Understand sentiments of customers on social media sites like Twitter, Face Book, Blogs, Call Center Scripts, etc., which are used to improve the Product of Customer service or understand how competitors are doing. FORECASTING – Analyze & forecast processes that take place over the period of time. E.g. ➢ Predict seasonal energy demand using historical trends, ➢ Predict how many ice creams cones are required considering demand. PREDICTIVE ANALYTICS – Create, manage and deploy predictive scoring models. E.g. ➢ Customer churn & retention, ➢ Credit scoring, ➢ Predicting failure in shop floor machinery OPTIMIZATION – Use of simulations techniques to identify scenarios which will produce best results. E.g. ➢ Sale price optimization, ➢ Identifying optimal inventory for maximum fulfillment & avoid stock outs. VISUALIZATION – Enhanced exploratory data analysis and output modelling results with highly interactive statistical graphics.