From Fragmented Data to Measurable Growth

Data, ML and BI pipelines running on different systems that don’t talk to each other. Data siloes that grow platform by platform. Teams that spend their time patching systems together or manually transferring data between systems. The result is that technology leaders pay more to run systems that deliver less, and AI ambitions stall because the data underneath isn’t ready.

• Data Foundation
• Data for AI
• Agentic AI and Analytics

• One platform to run, secure and govern, with fewer incidents and faster delivery.
• Lower platform and licensing costs, and less engineering time spent on maintenance. Across ADA engagements, consolidation onto Databricks has cut platform costs by up to 40%.
• A governed, trusted foundation that ML models and AI agents can be built on and scaled from.
• Each new use case builds upon the same foundation instead of starting from scratch, so the business moves faster with every project.

Other examples of ADA and Databricks in action:

• Retailer, South Asia
  40% lower platform costs
  The client’s platform was split across Redshift, Python/SQL and Jenkins, with high costs and a lot of manual work. ADA built a medallion lakehouse on Databricks, migrated every source and converted the code to PySpark. Platform costs fell 40%, and 15 dashboards now refresh faster.
• Retail group, India
  90% less manual data collection
  Brand data was collected by hand, with no view across marketplaces or competitors. ADA built pipelines, a central warehouse, eCommerce API connectors and competitor scraping on Databricks on AWS. Manual data collection fell 90%, and all data discrepancies were eliminated.
• Food delivery platform, India
  85% fewer man-hours on data consolidationData from more than 1,500 brands was consolidated by hand, which slowed onboarding and the sale of brand insights. ADA automated consolidation with Airflow and built Databricks modules to centralize and share brand insights. Man-hours on consolidation fell 85%, and revenue per order rose by 0.3 within three months.
• Global consumer electronics manufacturer
  Direct answers for marketers, no analyst queue
  ADA built a business-aware intelligence layer on Databricks Genie that turns fragmented reporting into plain-language answers, with context and next-best actions. Marketers now get answers directly instead of waiting in analyst queues, and they create audiences and plan campaigns faster.