Data analysis for an investment company - Case Study
Business Case:
The business Requirement is to analyze Global investment trends for an an asset management company.
The firm wants to make investments in a few companies. The CEO wants to understand the global trends in investments so that she can take the investment decisions effectively based on below mention constraints.
- Company wants to invest between 5 to 15 million USD per round of investment
- Company wants to invest only in English-speaking countries
Based on the above constrains we need to plan an investment Stratergy for the company to invest where other investors are investing.
Data Gathering:
We have below mention data available to analyze historical trending and patterns and categorised the sector classification:
- Company basic data (company.txt)
- Funding round details (rounds2.csv)
- Sector Classification info (mapping.csv)
- Bussiness Objective:
Based on the analysis on available data we need to identify best Company, sectors, countries and a suitable investment type to invest in where most of the investors are investing.
Goal of the Data Analysis:
- Investment type analysis
- Country analysis
- Sector analysis
Findings
- Funding Type : We found that Private Equity, Seed and Venture Types are the main sector for investment.
- Major investment was done in various countries like USA, Great Britain and India.
- Most suitable sectors in above mentioned countries are : Others, Cleantech/Semiconductors, Social/Finance/Analytics/Advertising.
Recommendation
This Project is only for exploring and analysing the data using EDA (Exploratory Data Analysis). The prediction for future can be done using Machin Learning Models .
Privacy Statement
- No Client data or confidential data has been used. The data used for analysis is downloaded from open source repositories.
- Non of the organizational server and credentials has been used during this project.
- This is a non-monitorial project only for learning and assignment perspective.