BDM Project Presentation
- The student needs to collect the data pertaining to a business problem. It could be any business- organized or unorganized sector. E.g.: Manufacturing, automobile, IT sectors, supermarkets, laundry, vegetable vendors, restaurants, service businesses etc. Kindly note that only “primary data” is to be collected. Do not collect data from online sources like Kaggle, GitHub etc, as they constitute the secondary data sources.
- Clearly explain the process of data collection.
- Prepare field notes describing the meeting between the two parties (Student and the business, the people involved etc). Mention in brief, how many meetings were done and what was discussed?
- Understanding of the business (Type of Business-B2B, B2C or both) and nature of problem(s) the businesses encounter.
- How do businesses solve the problems they encounter? Are these problems recurring or one-time?
- How did the student narrow down to the problem?
- How was the data collection done? Time period of data collection (Days/ Months/Years etc).
- Tangible evidence (People, Processes (say an organization chart) or any form of physical evidence)
- Details about the various variables collected as a part of data collection. Importance of these variables and its relevance.
- Cleaning of the data – Describe the process in brief and how it was done?
- Analysis of the data- While the students can use the case studies taught in BDM course as cues to conduct the analysis, the rationale for the same needs to be mentioned. We also encourage students to go through newspapers, journals, reference books, use learnings from other courses etc, and explore newer ways of conducting analysis.
- Provide the insights from the analysis conducted to the businesses.
- What should businesses do? (Continue doing and start doing)
- What is that they need to avoid?
- In what ways does your solution(s) address the business problem(s)?
Kindly note that these insights should be novel, and add value to the decision maker. The insights should be derived from the analysis you conduct. So, the better the data, the richer the insights!
Flow of Project

Submission Phases and Evaluation criteria
- Proposal submission
- Mid-term Submission (Explanation of Data collection and cleaning)
- Final Submission with Analysis/Interpretation of data
- Viva Voce
Timeline for May-2023 term
Project submissions for each stage, like proposal, midterm, and final submission, will be open every month, as mentioned below.
Proposal submission | Results release | Mid term submission | Results release | Final report submission | Results release |
1-5 of every month | 10th of the month | 6-10 of every month | 15th of the month | 11-15 of every month | 20th of the month |
Vivas for those who complete: 25–30 of every month.
**********If the deadlines are extended, the results will be delayed as well.
Project Proposal
- Proposal must be about four – five pages long
- Proposal is evaluated for 100 marks and scaled down to 20
- A pass mark of at least 50/100 is needed for the proposal to be approved
- At least 2 objectives (problem objectives) must be identified in the proposal
1 | Does the Proposal discuss a business problem? | Yes/No |
2 | If Answer to Q1 is No | Reject Proposal |
| Expected Contents | Weightage |
3 | - Executive Summary and Title (200-250 Words)
| 15 |
4 | - Organization Background (150-200 Words)
| 10 |
5 | - Problem Statement (Listed as objectives) (100-120 Words)
- Make it as a pointwise no paragraph for Problem statements
| 10 |
6 | - Background of the Problem (200-250 Words)
| 10 |
7 | - Problem Solving Approach (400 Words)
| 45 |
7a | - Details about the methods used with Justification
|
|
7b | - Details about the intended data collection with Justification
|
|
7c | - Details about the analysis tools with Justification
|
|
8 | - Expected Timeline- Work Breakdown Structure and Gantt Chart
| 5 |
9 | | 5 |
Mid-term Submission
- Submission must be about 8 – 10 pages long
- Submission is evaluated for 100 marks and scaled down to 20
1 | Is the plagiarism % of the document less than 20% | Yes |
2 | If Answer to Q1 is No | Reject Submission |
| Expected Contents | Weightage |
3 | - Executive Summary and Title (200 Words)
| 15 |
4 | - Proof of originality of the Data
- 1. Letter from organization in letter head with stamp and sign.
- 2. Images related to organization along with your images with founder (max-3)
- 3. Recorded video with the founder in the organization.
|
10 |
5 | - Metadata (20-Marks)
- Descriptive Statistics (20- Marks)
| 40 |
6 | - Detailed Explanation of Analysis Process/Method
| 25 |
7 | - Results and Findings (Graphs and other Pictorial Representation Preferred and with words)
- Include the explanation of the trends for the attached results portion.
- We are not expecting all the results, but a part of your problem statement results needs to be included.
|
20 |
Final Submission
- Submission must be about 18 – 20 pages long
- Submission is evaluated for 100 marks and scaled down to 40
- A cumulative score of 40/80 is needed to be eligible for viva voce.
1 | Is the plagiarism % of the document is less than 20% | Yes |
2 | If Answer to Q1 is No | Reject Submission |
| Expected Contents | Weightage |
3 | - Executive Summary and Title (200 Words)
| 15 |
4 | - Detailed Explanation of Analysis Process/Method
| 15 |
5 | - Results and Findings (Graphs and other Pictorial Representation Preferred and with words)
|
40 |
6 | - Interpretation of Results and Recommendation
| 20 |
| - Presentation and legibility of the report
| 10 |
- Students are free to use any analysis tool including Excel, R, Python
Viva Voce
- Student should present the project using google slides or powerpoint – Max 10 slides
- Submission is evaluated for 100 marks and scaled down to 20
- A cumulative of 50/100 marks is needed to pass BDM capstone project course
|
Evaluation Criteria |
Weightage |
1 | | 30 |
2 | | 10 |
3 | | 10 |
4 | - Presenter Communication Skills
| 20 |
5 | - Presenter ability to answer questions
| 20 |
6 | - Presenter’s preparedness and confidence
| 10 |
Reference Textbooks
- Malhotra, N., & Dash, S. (2019). Marketing research: An applied approach. Pearson.
- Newbold, P. (2013). Statistics for business and economics. Pearson.
- Wirtz, J., & Lovelock, C. (2021). Services marketing: People, technology, strategy. World Scientific.
- Operations Management: Processes and supply chain | Twelfth Edition by Lee J Krajewski and others
Document jointly prepared by,
Dr. Aaditya Chandel and Dr. Ashwin J. Baliga