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Indian Business Reality Show Pitch Metrics
Data Science and Analytics
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About
Captures the details of 121 featured pitches presented during the inaugural season of Shark Tank India. This Indian business reality series aired on Sony Entertainment Television, running from December 2021 and concluding in February 2022. The data provides valuable insights into the interactions between entrepreneurs and the panel of investors, often referred to as 'sharks'. It meticulously tracks crucial financial requests, the final deal outcomes, and key pitch specifics, with all monetary figures specified in Lakhs.
Columns
The dataset contains 24 distinct columns, including vital statistics related to the pitches and outcomes:
- Sl No.: The sequential identifier for the pitch (1 to 121).
- Start-Up Name: The unique title of the company being pitched.
- No. of Pitchers: The count of founders presenting, typically ranging between one and six.
- Mean Founder Age: The average age of the founders involved in the pitch, spanning from 19 to 56.
- Sex: Categorisation of the pitching team's gender composition (e.g., male, mix).
- IDEA: A short description of the product or service presented.
- Sector: The industry classification of the start-up (e.g., Packaged Food, Tech).
- Revenue YoY: The company’s latest year-over-year revenue figures.
- Ask_value / Ask_% of Equity: The capital requested and the corresponding equity stake offered by the entrepreneurs.
- Deal / Deal_value / Deal_% of Equity / Deal Loan: Boolean indicator of whether a deal was secured, along with the monetary value, equity stake, and loan component of the final agreement.
- Individual Shark Investments: Specific investment amounts committed by each of the seven featured sharks, including Aman Gupta, Ashneer Grover, Vineeta Singh, Peyush Bansal, Namita Thapar, Anupam Mittal, and Ghazal Alagh.
Distribution
The information is provided in a CSV file format (named Shark Tank Data 121pitches.csv). The file size is 13.19 kB and it comprises 121 individual records or rows, corresponding to the total number of pitches featured (excluding the pitch by Shark Piyush Bansal). The dataset structure consists of 24 fields. The data quality is high, with minimal missing values across most columns, generally less than 2%.
Usage
This data product is ideal for several analytical applications:
- Performing data analytics and visualisation projects related to investment dynamics.
- Analysing success rates of start-up pitches based on sector, asked valuation, or demographic factors.
- Studying the individual investment strategies and patterns of the panel investors.
- Serving as a foundational resource for business studies and research focused on the Indian start-up ecosystem.
Coverage
- Geographic: Focused on India, detailing the Indian business reality television series, Shark Tank India.
- Time Range: Covers the entire first season, which aired from December 2021 through February 2022.
- Scope: Includes complete data on 121 unique televised pitches, financial metrics, and details on founder demographics.
License
CC0: Public Domain
Who Can Use It
- Data Analysts and Scientists: Professionals looking to model variables affecting investment decisions and pitch success.
- Students and Beginners: Individuals learning data manipulation and visualisation techniques, as the dataset is tagged as suitable for beginner-level use.
- Business Journalists and Researchers: Those tracking emerging sectors and financial trends within the Indian start-up landscape.
Dataset Name Suggestions
- Shark Tank India Season 1 Pitch Investment Data
- Indian Business Reality Show Pitch Metrics
- Complete Investor Decisions and Pitch Details S1
Attributes
Original Data Source: Indian Business Reality Show Pitch Metrics
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