OBJECTIVES:

Learn to

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 - PRESCRITIVE ANALYTICS

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

Outcomes:

Text Books

  1. Marc J. Schniederjans, Dara G. Schniederjans and Christopher M. Starkey, ” Business Analytics Principles, Concepts, and Applications – What, Why, and How” , Pearson Ed, 2014.
  2. Christian Albright S and Wayne L. Winston, “Business Analytics – Data Analysis and Decision Making” , Fifth edition, Cengage Learning, 2015.
  3. James R. Evans, “Business Analytics – Methods, Models and Decisions”, Pearson Ed, 2012.

Course Reference