This project delves into the analysis of film categories and their revenue contributions in a DVD rental business, leveraging PostgreSQL for comprehensive database management and data analysis.
- PostgreSQL
- Creation of detailed and summary tables for revenue data analysis.
- Data transformation procedures to facilitate insightful reporting.
- Revenue analysis segmented by film categories.
- Install PostgreSQL and pgAdmin 4.
- Install the PostgreSQL sample DVD Rental database.
- Utilize the supplied SQL scripts to establish and populate the database.
- Employ the PostgreSQL scripts in
dvd_rental_revenue_insights.sqlto generate revenue reports. - Use pgAgent to automate the monthly execution of the stored procedure, enhancing data freshness and strategic analysis.
Utilizing data from PostgreSQL's Sample DVD Rental Database, the project constructs a comprehensive revenue analysis framework.
Key elements include variable identification, report and database table associations, datatype clarification, and variable descriptions, ensuring a thorough understanding and utilization of the data for revenue analysis.
This project leverages specific tables from the dvdrental database to create detailed and summary reports, focusing on essential fields like name from category and amount from payment. These fields are integral to both reports, providing a consistent data framework, while other fields are selectively used to enrich the detailed report with granular data.
The detailed and summary reports serve distinct purposes, from offering immediate analytical insights to facilitating long-term strategic planning. They enable targeted inventory adjustments and strategic decision-making based on revenue trends across different film categories.
The chosen monthly refresh cycle for the report is a strategic decision to provide timely and relevant data for decision-making, balancing the need for up-to-date information with the natural variability of the rental market.