Topic: Microsoft wants to enter the movie business industry
- We were tasked to give three recommendations to Microsoft for entering the industry as a part of their Data Scientist team
- We used SQL along with the Python package Pandas to load in and clean data from data sets as well as analyze, create visualizations and make recommendations
- The key stakeholders are the higher ups in the company such as the CEO and Owners
- Microsoft is entering a very saturated industry with many big competitors
- How can Microsoft best navigate starting a new movie studio?
- A good measure of success in any industry is the return on investment and profit
- In our analysis we focused in on recent movies from 2010-2019 and their profitability
- The more granular focus of our analysis was in the profitability of top: movie genres, movie run times and movie actors/actresses
- We used two different data sets
- IMDB website
- A data set which contained categorical information on movie start years, run times, peoples profession associated with the movie (actors, actresses, writers, directors, producers etc..)
- The Numbers website
- A data set which contained numerical information on movie production budgets and gross earnings from which we were able to calculate the profit
- IMDB website
- We merged the two different data sets to conduct our analysis on movie profitability in our three areas of focus
- Based on our data we found most profitable genres by median profit
- From the top 13 genres with the highest profitability based on the median profit we decided to focus in on the top 4 genres
- For these Top 4 profiting genres, we analyzed each with respect to profit by run times
- We found that for animation movies the most profitable run times are in the time range of 80-110 minutes
- For the other three genres, the most profitable run times are in the interval of 140-155 minutes
- The 125-140 and 155-170 run times are quite profitable as well
- Profitability of top 10 actors for the action genre
- Chose the action genre because it had the most actors and actresses in the data set compared to the other top 4 genres
- We filtered down to actors who had been in 4 or more different action movies which represents their popularity and established success in the action genre
- If Microsoft were to enter the movie industry we would give 3 recommendations:
- Pursue 1 of the top 4 most profitable genres (Animation, Adventure, Sci-Fi and Action)
- For Adventure, Sci-Fi and Action focus on run times between 140-155 minutes. For Animation focus on run times between 80-110 minutes
- For Action movies, recruit 1 of the 10 actors previously shown
- This repository contains:
- 2 folders containing exploratory notebooks
- A folder containing data
- A gitignore file
- A presentation pdf
- Final project Jupyter Notebook
- A readme file