SKY
Cliente
Client
Sky, one of the largest pay-TV operators in Latin America, offers a wide range of channels and entertainment services. After merging with Directv, the company serves over 20 million subscribers, standing out for its innovation and focus on customer experience.
About The Project
The project aimed to build a robust data platform for Sky + Directv, unifying information from various sources and legacy systems. We developed an ETL layer using tools like Apache Airflow and Talend to integrate data from APIs, databases, and third-party systems such as broadcasters. The platform, based on Amazon Redshift and Apache Spark, enables processing large volumes of data in real-time, enabling advanced analytics and actionable insights.
Sobre o projeto
About the project
Desafio de negócio
Business challenge
The main challenge was to integrate vast volumes of data from different sources and systems, ensuring that the merger of Sky and Directv operations resulted in a cohesive and enhanced user experience, in addition to optimizing business operations.
Solução
Solution
We created a robust data solution that enabled the efficient integration of information from various sources. The developed ETL layer facilitates the analysis and use of data for various functionalities, such as customer segmentation and product recommendations.
Tecnologia
Technology
Processo
Process
Agile methodology is a dynamic framework that prioritizes incremental deliveries and continuous adaptability. With a focus on short sprints, it fosters collaboration between cross-functional teams and clients, ensuring a rapid response to changes. By utilizing practices like Scrum and Kanban, we optimize the workflow and maximize value delivery. Our agile approach ensures efficiency and constant alignment with client needs, driving superior results.
Resultados
Project conclusion
The implementation resulted in more efficient marketing campaigns, increased sales, and customer satisfaction through personalized recommendations. Real-time fraud analysis protected the company and its customers, while sales forecasting and seasonality analysis optimized strategic and financial planning.
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