Andrew-J-Mueller / rockbuster-biz-analysis

SQL

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This project was conducted in PostgreSQL environment using pgAdmin4 for the Career Foundry Data Analytics course Spring 2023

rockbuster-biz-analysis

Project Introduction

Rockbuster Stealth LLC, a renowned movie rental enterprise that previously operated physical outlets globally, is currently confronted with intense competition from streaming platforms like Netflix and Amazon Prime. In order to maintain its competitive edge, the management team at Rockbuster Stealth is devising a strategic plan to leverage their existing movie licenses and introduce an online video rental service. To facilitate this initiative, the Business Intelligence (BI) division at Rockbuster Stealth is diligently working on the launch strategy for the new online video service. The primary objective entails the seamless integration of all Rockbuster's data into PostgreSQL followed by employing SQL to meticulously scrutinize the data and address the key questions and objectives.

Key Questions and Objectives

  1. Which movies contributed the most/least to revenue gain?
  2. What was the average rental duration for all videos?
  3. Which countries are Rockbuster customers based in?
  4. Where are customers with a high lifetime value based?
  5. Do sales figures vary between geographic regions?

Data

The data set was downloaded as a .tar file.
The data was loaded into the PostgreSQL.
Data querying and manipulation was performed in the pgAdmin4 environment.

Deliverables

  • Data Dictionary as .pdf
  • Slide deck presentation created in Microsoft PowerPoint, as .pdf
  • Methodology as queries and output presented in Excel, as .xlsx
  • Charts created with Tableau are optimized for large screen viewing here

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