
Letting Data Speak, AI Act!
Case Study
Film Advertising Analytics & Performance Tracking Platform

About the Client
A film advertising company specializing in movie distribution and marketing campaign analytics for the entertainment industry.

Challenge
The client operated with fragmented data sources including PostgreSQL databases and Google Analytics, making it difficult for film distributors to analyze campaign performance and track movie marketing effectiveness. The lack of a centralized data warehouse and unified analytics platform prevented distributors from gaining comprehensive insights into which campaigns were performing well and which social media channels were driving the most traffic. This data silos approach hindered decision-making and campaign optimization for film marketing efforts.

Key Results
Enabled comprehensive campaign performance analysis across multiple films and marketing channels, improving campaign optimization by 75%
Provided real-time social media traffic attribution analytics, increasing marketing ROI by 40%
Solution
JashDS developed and maintained a comprehensive data warehouse solution with automated ETL pipelines that connected multiple data sources including PostgreSQL databases and Google Analytics. The solution included the creation of insightful dashboards specifically designed for film distributors to analyze the performance of various film campaigns and movies.
The team built advanced analytics dashboards that enabled distributors to track campaign performance metrics and identify which social media platforms were generating the most traffic and engagement. The ETL pipelines were automated using Apache Airflow on Google Cloud Platform, ensuring reliable data processing and real-time updates across all connected systems.
The solution provided film distributors with centralized access to critical performance metrics, enabling data-driven decision making for marketing campaign optimization and budget allocation across different promotional channels.

Technologies Used
Google BigQuery
Apache Airflow (Google Cloud Composer)
Google Cloud Platform (GCP)
PostgreSQL
Python
Google Analytics
ETL/ELT Pipelines
Data Warehousing
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