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SPJIMR > Business Intelligence and Analytics

Overview

Business Intelligence and Analytics (BIA) helps you take better business decisions based on data. Executives weigh several factors when they decide: domain knowledge, experience, insights, gut feeling and imagination. Data gives them an additional advantage and helps them decide better. Although BIA can automate decisions, this course focuses on the decision aid system: BIA supports the executive, and the executive makes the final decision.

Decisions based on BIA give a business a competitive advantage, and BIA is fast becoming a differentiating factor. It is useful in every function: marketing, finance, human resources (HR), operations and information technology (IT). BIA is also one of the fastest-growing areas, with a large number of rewarding and challenging opportunities in core BIA roles. Even more opportunities exist in any function — marketing, finance, operations, HR and IT — that uses BIA.

Key highlights

  • Discuss key concepts of machine learning, such as supervised techniques (classification and regression) and unsupervised techniques (association, including market basket analysis, and clustering).
  • Learn to apply tools such as R and Orange in various business cases.
  • Discuss how to apply your findings in different business scenarios to improve business performance.

Objectives

By the end of this course, you will be able to:

  • Understand business analytics concepts, tools and techniques.
  • Analyse data using machine learning.
  • Apply techniques in various business situations.
  • Learn and apply industry-standard tools such as R and Orange (along with Excel).
  • Think strategically about how to improve business performance.

USPs

This course combines:

  • concepts;
  • tools and techniques; and
  • most importantly, how to apply what you learn in various business situations to improve business performance.

Business cases drive the methodology.

Who can attend

  • Working business executives in any discipline who want to improve business performance using machine learning techniques (and other techniques such as business forecasting and generative artificial intelligence [AI], although this course does not cover them).
  • Basic statistical knowledge (mean, standard deviation, normalisation, correlation and so on) helps but is not mandatory.
  • You will need access to a computer for the duration of the course.

Faculty

Sunil Lakdawala

Sunil Lakdawala

Sunil Lakdawala holds a Ph.D. from Yale University and a Master's degree from the Indian Institute of Technology (IIT). He is a visiting faculty member in Information Management, with a keen interest in business intelligence and analytics. He has taught in many management development programmes for professionals and executives from eminent Indian organisations.

He is an approved Ph.D. guide at BITS Pilani. He is also a promoter and executive director of a healthcare start-up incubated at the Society for Innovation and Entrepreneurship (SINE), IIT Bombay. Before joining academia in 2002, he worked with prominent IT consulting firms for over 18 years across various domains, including logistics (ports and cargo).

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Application process

  • Register on the course platform.
  • Receive confirmation and login details by email.
  • Start learning on the learning management system (LMS) and complete the weekly activities.

Certificate

You will receive a digital certificate of completion when you meet the course completion requirements, such as completing the quizzes and assignments and any required participation.

Fees

Enrol in the first module for free. To move to Module 2, you need to pay.

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