Rockbuster Analysis using SQL & Tableau

Rockbuster Stealth LLC, a global movie rental company, is launching an online video rental service to compete with streaming giants like Netflix and Amazon Prime. The goal of this analysis is to provide insights that will help optimize operational efficiency and develop a strategic plan to target high-revenue regions and customer segments.

  • Goals

    Rockbuster  Stealth  LLC  is  a  movie  rental  company  that  used  to  have  stores  around  the   world.

    Facing  stiff  competition  from  streaming  services  such  as  Netflix  and  Amazon  Prime,   the  Rockbuster  Stealth  management  team  is  planning  to  use  its  existing  movie  licenses  to   launch  an  online  video  rental  service  in  order  to  stay  competitive.

  • Skills & Tools

    Relational databases

    SQL

    Database querying

    Filtering

    Cleaning and summarizing

    Joining tables

    Subqueries

    Common table expressions

  • Key Focus Areas

    Top-performing and low-performing movies by revenue.

    Customer locations and their lifetime value.

    Sales performance across different geographic regions.

    Genre-based revenue insights.

Which movies contributed most/least to revenue gain?

Top Performing Genres

Sports | Total Revenue: $4,892

Sci-Fi | Total Revenue: $4,336

Animation | Total Revenue: $4,245

Lowest Performing Genre

Thriller | Total Revenue: $47


Where are the majority of Rockbusters customers?

Rockbuster customers span across the world, but the majority of customers can be found in areas such as: India, China, and the United States.


Where are customers with a high lifetime value based?

Reunion

Eleanor Hunt

$211

Each of the top 5 customers for Rockbuster spent over $120 in movie rentals.


Do sales figures vary between geographic regions?

Asia, China, and the United States are the top performing geographic regions, where Asia accounts for almost half of Rockbusters entire revenue.

Belarus

Clara Shaw

$189

Turkey

Casey Mena

$130

Mexico

Sara Perry

$128

Indonesia

Leslie Seward

$123


  • Data Limitations

    The first step involved setting up a comprehensive relational database with 15 tables covering different aspects of Rockbuster's operations, including customers, payments, films, and rentals.

    A data dictionary was created to ensure clarity around the structure of the data.

  • Challenges

    The key challenge was managing complex SQL joins across multiple tables to extract the necessary insights:

    Joins & Subqueries: Joins were used to combine customer records with film and payment data, while subqueries helped drill down into specific regions and customer groups to answer business-critical questions.

    Cleaning Data: The dataset initially had missing variables that were necessary for visualization. After identifying this issue, the data was cleaned and refined again in Excel before proceeding with further analysis.

  • Recommendations

    Focus Marketing Efforts on high-revenue regions like India, China, and the U.S.

    Implement a Customer Loyalty Program to incentivize high-value customers through rewards and referrals.

    Expand Popular Genres such as Sports, Sci-Fi, and Animation to maintain engagement and drive more rentals.

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