Modern Data Lakehouse Journey of an Athletic Apparel and Footwear Company Making Data and Analytics as a Key Enabler for Vision 2025

Client

The client is a Germany-based multinational organization that sells athletic clothing, shoes, and accessories. It is the second largest sportswear producer in the world and the first in Europe.

Challenges 

• Set up a next-gen cloud data platform (AWS) to support business intelligence services and advanced analytics for delivering insights from high volumes and a variety of data
• Achieve cost optimization and faster time to market with a scalable solution to quickly store and analyze structured and semi-structured data
• Address legacy system challenges like data segregated in different locations, scalability, licensing cost, and integration with an external system
• Establish a golden source of truth and ease of consumption of data from billions of records
• Reduce “time to insight” and optimize “cost per insight” through a common tech stack

LTM Solution

• We created a single source of truth for data, analytics, and AI on a single platform, “Databricks.” It is scalable, cost-effective, and supports open data architecture catering to the modern tech stack. 
• The data platform modernization accelerated business value and democratized data by visualizing “data as a product.” 
• Data product as an integrated set of trusted data elements was aligned to a specific domain or business area that caters to the data and analytical needs of the business group. 
• Data modeling and governance around data assets were made accessible, consumable, and understandable across organizations.
• A solution was developed to break data silos, implementing data product and data mesh architecture and principles.

Business Benefits

The data and analytics transformation program helped the client modernize their reporting and analytics ecosystem and overcome many hurdles in operational efficiency.

• Over 2000 active business users were successfully onboarded on the new Lakehouse Platform.
• Business and IT stakeholders' accolades for collaborated teamwork to raise a robust platform supporting more than 1PB data.
• Setting up new environments/workspace creation takes less than two hours.
• The client saved 40% of their time with automation on ERP data migration to Lakehouse.