CW3601 Business Analytics Syllabus:
CW3601 Business Analytics Syllabus – Anna University Regulation 2021
COURSE OBJECTIVES:
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.
To apply analytics for different functions of a business
UNIT I INTRODUCTION TO BUSINESS ANALYTICS
Analytics and Data Science – Analytics Life Cycle – Types of Analytics – Business Problem Definition – Data Collection – Data Preparation – Hypothesis Generation – Modeling – Validation and Evaluation – Interpretation – Deployment and Iteration
UNIT II BUSINESS INTELLIGENCE
Data Warehouses and Data Mart – Knowledge Management –Types of Decisions – Decision Making Process – Decision Support Systems – Business Intelligence –OLAP – Analytic functions
UNIT III BUSINESS FORECASTING
Introduction to Business Forecasting and Predictive analytics – Logic and Data Driven Models – Data Mining and Predictive Analysis Modeling –Machine Learning for Predictive analytics.
UNIT IV HR & SUPPLY CHAIN ANALYTICS
Human Resources – Planning and Recruitment – Training and Development – Supply chain network – Planning Demand, Inventory and Supply – Logistics – Analytics applications in HR & Supply Chain. Apply HR Analytics to make a prediction of the demand for hourly employees for a year.
UNIT V MARKETING & SALES ANALYTICS
Marketing Strategy, Marketing Mix, Customer Behaviour –selling Process – Sales Planning – Analytics applications in Marketing and Sales. Do predictive analytics for customers’ behaviour in marketing and sales.
COURSE OUTCOMES:
CO1: Explain the real world business problems and model with analytical solutions.
CO2: Identify the business processes for extracting Business Intelligence
CO3 : Apply predictive analytics for business fore-casting
CO4: Apply analytics for supply chain and logistics management
CO5: Use analytics for marketing and sales.
TOTAL:45 PERIODS
REFERENCES
1. R. Evans James, Business Analytics, 2017
2. R N Prasad, Seema Acharya, Fundamentals of Business Analytics, 2016
3. Philip Kotler and Kevin Keller, Marketing Management, 15th edition, PHI, 2016
4. VSP RAO, Human Resource Management, 3rd Edition, Excel Books, 2010.
5. Mahadevan B, “Operations Management -Theory and Practice”,3rd Edition, Pearson Education,2018.