COURSE OBJECTIVE:  

• To understand the Analytics Life Cycle.  

• To comprehend the process of acquiring Business Intelligence . 

• To understand various types of analytics for Business Forecasting . 

• To model the supply chain management for Analytics.  

• Apply analytics for different functions of a business .

UNIT - I               INTRODUCTION TO BUSINESS ANALYTICS                        9 

Analytics and Data Science – Analytics Life Cycle – Types of Analytics – Business Problem Definition – Data Collection – Data Preparation – Hypothesis Generation – Modeling – Validating and verifying analytical results, Communicating and presenting results to clients and driving organizational change and assessing impact– Interpretation – Deployment and Iteration- Optimizing Inventory Management. 

UNIT - II                                BUSINESS INTELLIGENCE                                        9 

Data Warehouses and Data Mart - Knowledge Management – Types of Decisions - Decision Making Process - Decision Support Systems – Business Intelligence – OLAP – Analytic functions - Enhancing Decision-Making with Business Intelligence. 

UNIT - III                                    BUSINESS FORECASTING                                      9 

Introduction to Business Forecasting and Predictive analytics - Data Mining and Predictive Analysis Modeling -Linear Regression, Cluster, CART and Neural Network model– Data Visualization and Analytics- Charts(Bars-Pie-Line-Scatter-Map-Bubble-Box & Whisker-Tree map - Heat map-Circle and Area) -Worksheet, Dashboard and Story Board creation Demand Forecasting for Retail Chain 

   UNIT - IV                              HR & SUPPY CHAIN ANALYTICS                                   9 

Decision Trees- Logistic Regression -Neural Network Model – K-Nearest Neighbours – Naive Bayes – Regression Models - Linear Regression - Other Regression AlgorithmsCase study: predictive web Analytics. 

    UNIT - V                                MARKETING & SALES ANALYTICS                             9 

Marketing Strategy, Marketing Mix, Customer Behavior – selling Process – Sales Planning – Analytics applications in Marketing and Sales - Enhancing Marketing and Sales Effectiveness. 

TOTAL : 45 PERIODS 

COURSE OUTCOME(S): Upon completion of the course, students will be able to: 

• CO1 Define key concepts of Business Analytics and its life cycle. 

• CO2 Explain the role of Business Intelligence in decision-making. 

• CO3 Apply predictive analytics for demand forecasting.

•  CO4 Analyze supply chain and HR analytics models. 

• CO5 Evaluate marketing and sales analytics strategies. 

• CO6 Develop a complete business analytics solution.