Modernized data infrastructure

This long-running, global sporting goods enterprise designs and manufactures a wide range of performance footwear, apparel and equipment. Being a major player in this competitive industry is no easy feat. Just like an elite athlete, the enterprise must have the ability to make smart decisions quickly.

The company’s disparate legacy data platforms were inefficient and lacked scalability. This caused costs to escalate, hindered performance and prevented the organization from extracting maximum value from its data.

As the company sought to modernize its analytics technology stack, they engaged Valtech to ensure the new data platform would operate at its full potential.

We applied our modern development practices to lead the company through this strategic initiative by:

• Establishing data pipeline standards and processes during the migration to deliver efficiency and consistency in the new platform.

• Creating reusable data quality and documentation logic to ensure trust and understandability for evolving ecommerce, clickstream and other data.

• Centralizing and standardizing the data product catalog to boost speed-to-value and accelerate data democratization.

The technologies we used in this engagement included AWS S3 and Databricks integration, with custom CI/CD implementation used to access and schedule data jobs.

Migrating 10 TB of data from a cumbersome and costly system to AWS Cloud has empowered the sporting goods company to reduce costs and take full advantage of the data platform’s features and capabilities.

A 33% data lag improvement has accelerated decision-making throughout the enterprise.

Merchandising is one of the key areas impacted by this speed-to-value improvement. Time is of the essence when it comes to evaluating product performance and product order. Now, via a merchandising dashboard, the team can assess and act on these critical factors significantly faster.