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AI and data solutions for a premium TV network

A premium US television network reaching 28 million American households works with AgileEngine on business-critical data systems and experimental AI features. Our Data Studio experts modernized the company’s data pipelines, introducing automation and standardization to core data engineering workflows. Thanks to our AI team, the company was able to rapidly develop proof-of-concept AI-driven MarTech while saving engineering costs.
case study

Industries

Digital media, Entertainment, Subscription

Services

Data engineering, AI engineering, Backend development, Modernization

Solutions

AI, Predictive analytics, Churn prediction, Data pipeline, Machine learning models, AI integration

Technologies

Python, SQL, AWS Sagemaker, AWS Batch, AWS ECS, AWS EMR, XGBoost, Bash, Airflow, Snowflake, Tableau

Outcomes
and highlights

  • 95% projected accuracy demonstrating that AI-driven churn prediction can significantly outperform traditional methods
  • Up to 5X potential cost savings unlocked through improved retention compared to the average cost of acquiring new subscribers

Solutions overview

Data pipeline modernization

Our Data Studio experts’ work had a profound impact on the engineering workflows related to our client’s migration to a new technology stack. The version control and a standardized process introduced by our team streamlined the client’s data engineering pipelines, eliminating manual tasks and speeding up the detection and resolution of issues. With smarter automation in place, the company has seen significant improvements in data engineering speed and solutions reliability.

Key deliverables

Development of a robust and reliable data engineering solution for the client’s analytics teams
Migration of critical data pipelines to a new technology stack and architecture
Introduction of version control for the analytics projects, migrating and optimizing the data pipelines
Automation of end-to-end processes that include extraction from external data sources and execution of ad hoc Python scripts as batch jobs

Technologies

  • Python, SQL, Bash, Airflow, AWS Batch, AWS ECS, AWS EMR, Snowflake, Tableau

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