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BUSINESS INTELLIGENCE CASE STUDY

Netflix Business Analysis

A strategic case study exploring viewer preferences, content trends, and engagement metrics to optimize Netflix's global content library.

Business Intelligence Content Strategy Visualization Python

Executive Summary

Netflix aims to align its massive content investment with shifting audience inclinations. This analysis identifies key gaps between the current library and global viewership trends.

Problem Statement

Optimizing for geography, genre resonance, and the timing of new releases.

Data Overview

Analysis of titles, production countries, years, ratings, duration, and genres.

Target Audience

Content Strategy Team, Marketing, and Leadership for data-driven decisions.

Analysis Highlights

Content Distribution

Ratio of Movies vs TV Shows

Top Production Countries

Volume of content by region

Key Analytical Pillars

Viewer Preferences by Geography
Genre & Content Engagement
Impact of Directors & Cast
Seasonal Release Trends

Strategic Recommendations

01

Expand International Content

Diversify offerings to cater to global audiences, reducing reliance on US-centric productions.

02

Leverage Seasonal Trends

Time content releases to coincide with peak viewing seasons and holidays for maximum impact.

03

Strategic Collaborations

Partner with high-performing directors and actors identified in the analysis to minimize risk on Originals.

04

Establish Feedback Loops

Implement robust mechanisms to gather and analyze viewer input to refine future content acquisition.

Conclusion & Key Outcomes

This case study provides a roadmap for sustaining subscriber growth in a competitive landscape.

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