This project analyzes Netflix data to uncover viewer behaviors and content trends, aiming to optimize content strategies and enhance user experience.
Improve data quality by handling foreign characters, removing duplicates, and converting data types.
The project encompasses data collection, cleaning, preparation, storage, and analysis using SQL. It aims to address key business questions related to content production, audience preferences, and operational efficiency.
Tailoring content acquisition to regional preferences, such as focusing on popular genres like comedy in the United States, enhances viewer engagement and satisfaction.
Collaborating with prolific directors identified through data analysis strengthens content diversity and attracts diverse viewer demographics, boosting content appeal.
Optimizing content length based on genre preferences and average viewer attention spans improves content consumption experiences, driving higher viewer retention.
Data-driven insights into genre trends and directorial impacts empower Netflix to make informed decisions, effectively allocating resources and maintaining competitive advantage.