A major global athletic footwear and apparel supplier sought to enhance their Media Mix Models and establish robust data pipelines to efficiently manage and analyze large volumes of data from various sources.
Tredence expanded its Media Mix Models globally, creating robust data pipelines that span a wide range of data sources. By leveraging PySpark, Tredence consolidated data into uniform frames on Databricks on AWS, integrating seamlessly with S3. Automated Delta Lake pipelines guaranteed dependable data delivery for downstream applications.
The project streamlined data collection and transformed processes for the client’s data science team. Our solution included:
Efficient Data Pipelines:
Developed robust pipelines to efficiently manage and process extensive data volumes from varied sources.
Improved Data Consistency:
Ensured reliable and consistent data delivery to downstream applications, enhancing the accuracy and timeliness of insights.
Optimization Opportunities Identified:
Analyzed and optimized client's data sources and collection methods for improved data quality and reduced redundancies.
