Background:
Netflix Inc. is currently facing a major decrease in subscriber count, and has failed to meet their subscriber goals for several quarters in a row. As a result, their stock price has fallen several points and they have been unable to hit revenue goals for FY2021. Our team, Stream Pro Consultants, decided to create a SQL project using data from Netflix’s Top 10 list to provide Netflix with recommendations on how to increase streams and subscribers.
Mission:
Stream-Pro Consulting’s goal is to provide the client (Netflix, Inc.) with recommendations on how best to increase their streams (measured in weekly hours viewed by subscribers). Stream-Pro will utilize database management tools, particularly Structured Query Language (SQL) in order to accomplish these goals and provide the client with relevant deliverables and recommendations. Stream-Pro will then use Tableau to visualize our results.
Data Source:
This data was taken from Netflix’s Top 10 list, which is provided at this URL. This data provides time series data on Film Title, Weekly Hours Streamed, and Cumulative Weeks in Top 10. Information on release date, actors, and directors is taken directly from the Netflix platform for every movie.
MLA Citation:
“Netflix Top 10 - Global.” Netflix Top 10 - Global, https://top10.netflix.com/.
Project Usage:
a. Step 1: Open Microsoft SQL
b. Step 2: Connect to the server
c. Open the project SQL file saved under Project_0506_03_SQLQuery, and run
the queries as listed on the file.
To access the Tableau files, follow these steps:
d. Open Tableau Desktop
e. Open the Project Tableau files saved under Project_0506_03_Visualizations
To further achieve our goal to provide the client (Netflix, Inc.) with
recommendations on increasing their streams, Stream-Pro Consulting sets four
mission objectives as below and conducts each objective by SQL queries:
Next, to further illustrate the results, Stream-Pro Consulting uses Tableau to visualize each result gained from SQL server.
After opening the Tableau files for the project, the user can look through three dashboards pertaining to the SQL queries executed for this project.
## This first dashboard represents the exploratory analysis done in this project. The top left is a treemap that visualizes what dates the movies on the Netflix platform were released in. The top right graph is a bar chart that visualizes which genres are most popular on Netflix. Finally, the figure at the bottom shows the average amount of hours Netflix Top 10 movies were streamed.
## The second dashboard visualizes various recommendations our consulting company has for Netflix, in accordance with our objectives.
## The final dashboard tells us who Netflix should hire for their next productions, in terms of actors and directors. Both graphs have tooltip functions- if the user hovers over a bar, they are able to see the exact number of streams the actor/director has on the Netflix Top 10.