MI4805 Business Analytics Syllabus:

MI4805 Business Analytics Syllabus – Anna University PG Syllabus Regulation 2021

COURSE OBJECTIVES:

Learn to
1. Use business analytics for decision making
2. To apply the appropriate analytics and generate solutions
3. Model and analyse the business situation using analytics.

UNIT I INTRODUCTION TO BUSINESS ANALYTICS (BA)

Business Analytics – Terminologies, Process, Importance, Relationship with Organisational Decision Making, BA for Competitive Advantage.

UNIT II MANAGING RESOURCES FOR BUSINESS ANALYTICS

Managing BA Personnel, Data and Technology. Organisational Structures aligning BA. Managing Information policy, data quality and change in BA.

UNIT III DESCRIPTIVE ANALYTICS

Introduction to Descriptive analytics – Visualising and Exploring Data – Descriptive Statistics – Sampling and Estimation – Probability Distribution for Descriptive Analytics – Analysis of Descriptive analytics

UNIT IV PREDICTIVE ANALYTICS

Introduction to Predictive analytics – Logic and Data Driven Models – Predictive Analysis Modeling and procedure – Data Mining for Predictive analytics. Analysis of Predictive analytics

UNIT V PRESCRIPTIVE ANALYTICS

Introduction to Prescriptive analytics – Prescriptive Modeling – Non Linear Optimisation – Demonstrating Business Performance Improvement.

TOTAL: 45 PERIODS

COURSE OUTCOMES:

Ability to
1. understand the role of Business Analytics in decision making
2. identify the appropriate tool for the analytics scenario
3. to apply the tools and generate solutions
4. analyse the results
5. interpret the results