ADA helped a leading digital first “House Of Brands” gain competitive market intelligence by building a modern data platform on Databricks

The client is a leading digital-first House of Brands focused on accelerating the growth of direct-to-consumer (D2C) businesses across the region. By managing multiple brands, the company is committed to building a scalable, data-driven retail ecosystem.

The client relied on manual data collection from its managed brands, resulting in reporting delays, data inaccuracies, and limited access to timely business insights for decision-making. In addition, the company lacked visibility into performance data across its brands’ e-commerce websites and marketplace channels, making it difficult to monitor operations and optimise business performance.

ADA conducted a series of proof-of-concept (POC) initiatives to evaluate the most suitable cloud platform and technology stack. Based on cost, scalability, and performance, we designed and implemented an end-to-end data pipeline and modern data warehouse using Databricks and Amazon Web Services (AWS).

The new data platform consolidated information from multiple sources, providing a unified view of sales, returns, inventory, and financial performance. This enabled faster reporting, improved data accuracy, and more informed business decision-making.

ADA also developed bespoke API connectors for a range of e-commerce platforms to automate data ingestion and enrich the central data repository. In addition, we implemented web scraping capabilities to collect competitive market intelligence—including pricing, product rankings, and market trends—helping the client optimise its product strategy and respond more effectively to changing market conditions.