Business Analytics subject from Anna University based on regulation 2021. In this article, we would like to discuss the syllabus for semester VI of the B.Tech Computer Science and Business Systems.
We are glad to provide the syllabus to the students to assist them during academic examinations. The subject code CW3601 – Business Analytics unit-wise syllabus will help you to prepare well for examinations. I hope this information is useful. Never forget to share with your classmates.
If you want to know more about the B.Tech Computer Science and Design Engineering Syllabus connected to an affiliated institution’s four-year undergraduate degree program. We provide you with a detailed Year-wise, semester-wise, and Subject-wise syllabus in the following link B.Tech Computer Science And Design Engineering Syllabus Regulation 2021 Anna University.
Aim Of Concept:
- 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
CW3601 – Business Analytics Syllabus
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.
References:
- R. Evans James, Business Analytics, 2017.
- R N Prasad, Seema Acharya, Fundamentals of Business Analytics, 2016.
- Philip Kotler and Kevin Keller, Marketing Management, 15th edition, PHI, 2016.
- VSP RAO, Human Resource Management, 3rd Edition, Excel Books, 2010.
- Mahadevan B, “Operations Management -Theory and Practice”, 3rd Edition, Pearson Education, 2018.
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