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Business Data Management - Project

BDM Capstone Project is an independent research project where the student is expected to reach out to a business firm (either from organized sectors viz., well established businesses in manufacturing, IT, automobile sectors etc. which has excellent systems in place to handle and manage data or from an unorganized sectors like Kirana stores, vegetable vendors etc. which do not maintain proper records), identify the issues or the problem(s) they face, collect primary data pertaining to it, clean the data, analyze it, and provide novel/ valuable insights to the decision maker(s).

by G Venkatesh , Suresh Babu , Dr. Milind Gandhe

Course ID: BSMS2001P

Course Credits: 2

Course Type: Data Science

Recommended Pre-requisites: None

Recommended Co-requisites: BSMS2001 - Business Data Management

In the proposal stage, the student is expected to provide information about the organization and its background, problem definition/ statement, the background of the problem, the problem-solving approach they wish to use with justification, the expected timelines for project completion and the probable outcomes of the project.

In the midterm submission, students must provide a short video interaction clip with the business owner/ manager, tangible evidence like pictures, field notes etc., provide information on the meta data and descriptive statistics, conduct preliminary analysis, provide an interpretation of the results and findings.

The final report submission is a complete report and involves in-depth explanation of the entire process from start to finish.

The viva voce is conducted following acceptance of the final submission and for this, the student needs to make a presentation not exceeding 10 slides.

How to reach out and collect primary data, identify the issues or the problem(s), clean the data.

Explain and justify the reasoning behind using a particular approach, report them in a professional manner, by knitting one section to the next and how the novel insights benefits decision maker(s).

Hands-on experience in dealing with real world problems and providing solutions.

About the Instructors

G Venkatesh

Professor of Practice, Department of Humanities and Social Sciences, IIT Madras

Dr. Venkatesh is a Professor of Practice at IIT Madras, where he is involved with several projects in the field of education. He is also a Fellow and Director of Sasken Communication Technologies Ltd, a leading Indian R&D services provider, and a founder of Mylspot, an education technology startup that aims to bridge knowledge gaps of students through a mentored learning platform.

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Dr Venkatesh is a graduate in electronics from IIT Madras, PhD in Computer Science from TIFR, Mumbai and was a faculty member of the Computer Science & Engineering Dept of IIT Bombay for 8 years where his research interests revolved around declarative languages and their application to the design of embedded systems. He moved to the industry when Sasken was being formed, where he led their technology activities for over two decades. He was a visiting/adjunct faculty at IIM Bangalore for 10 years and a Chair Professor in the department of EE at IIT Madras for 3 years.

Dr. Venkatesh was elected as a fellow of the Indian National Academy of Engineers in 2006 and the IETE in 2012. He won the Technomentor award of the Indian Electronics and Semiconductor Association in 2013 and the Vasvik award for industrial research in 2015. Dr. Venkatesh serves on a number of government, industry and investor committees and boards in the areas of microelectronics, telecommunications and education.

Other courses by the same instructor: BSCS1001 - Computational Thinking , BSMS2001 - Business Data Management and BSMS2002 - Business Analytics

Suresh Babu

Professor, Department of Humanities and Social Sciences, IIT Madras

Suresh Babu has completed his M.S. in Development Economics and M.Phil. in Applied Economics before completing his Ph.D. from Jawaharlal Nehru University, New Delhi. He currently is a professor at the Department of Humanities and Social Sciences, and his key areas of research are in applied macroeconomics, trade & development and industrial economics.

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Other courses by the same instructor: BSMS2001 - Business Data Management

Dr. Milind Gandhe

Chief Programme Officer, Machine Intelligence and Robotics (MINRO) COE, IIIT Bangalore

Milind is the Chief Program Officer at the Center of Excellence for Machine Intelligence and Robotics, IIIT Bangalore. Prior to joining IIITB, Milind has 26 years of experience in the corporate sector, first with Sasken Communication Technologies and most recently with Tata Elxsi as the head of the Systems Business Unit. Milind has lead projects in Semiconductor, Automotive, Communications and Smart Home verticals.

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Milind has a PhD in Computer Science and Engineering from IIT Bombay. Before his PhD, Milind obtained a B.Tech and an M. Tech also from IIT Bombay. His thesis was on Abstract Interpretation of Functional Programming Languages. Milind also has a Diploma in Practicing Management from INSEAD, France.

Milind’s primary research interests are AI (Natural Language Processing, Mathematical Logic, Hardware acceleration for AI at the Edge) and Interaction between Society and Technology.

Other courses by the same instructor: BSMS2001 - Business Data Management