cancel
Showing results forย 
Search instead forย 
Did you mean:ย 
Announcements
Stay up-to-date with the latest announcements from Databricks. Learn about product updates, new features, and important news that impact your data analytics workflow.
cancel
Showing results forย 
Search instead forย 
Did you mean:ย 

CUSTOMER STORY - Databricks Lakeflow Jobs helped The Rank Group Plc Unify 50+ Systems

Om_Jha
Databricks Employee
Databricks Employee

โ€œWith Lakeflow Jobs, we were able to tap into data that legacy technologies could not access, empowering us to generate deeper, more reliable business insights.โ€ โ€“ Sachin Wadhwa, Director of Data Architecture and Platforms, The Rank Group Plc

The Rank Group Plc, a leading international gaming and entertainment company, modernized its data operations by consolidating 50+ systems onto Databricks Lakeflow Jobs - unlocking real-time insights, major cost savings and higher productivity across the business.

Key highlights: 

  • ยฃ1.2M total cost savings: Consolidated seven data warehouses and legacy ETL into a single Lakehouse with Lakeflow Jobs, saving over ยฃ1.2M.  
  • 20M daily transactions orchestrated: Ingests and manages ~20M transactions per day from 50+ systems through bronzeโ€“silverโ€“gold layers. 
  • 30% boost in productivity: Automation, observability and serverless compute free up ~8 days per month, lifting data ops productivity by 30%.
  • Higher data quality, faster decisions: Data quality pass rates now exceed 97.2%, with daily reports arriving ~4 hours earlier.
  • Stronger governance and GDPR alignment: A unified data layer improves governance and supports GDPR-compliant, Safer Gamblingโ€“focused use cases.
  • Future-ready for AI and CX: Enables a unified membership view and more advanced customer analytics that werenโ€™t possible on legacy systems.

Want to see how Lakeflow Jobs can help you unify fragmented systems, cut costs and unlock trusted, real-time insights? Check out the complete story here.

Learn more about Lakeflow Jobs and how it can power your next-gen data operations.

4 REPLIES 4

Louis_Frolio
Databricks Employee
Databricks Employee

@Om_Jha ,  Great to see Lakeflow Jobs helping teams simplify orchestration, reduce operational overhead, and make pipelines more reliable for Databricks customers.  Thanks for sharing, Louis.

 

Sumit_7
Honored Contributor

@Om_Jha Is there a detailed use case study available?

Louis_Frolio
Databricks Employee
Databricks Employee

Sumit_7
Honored Contributor

Thanks @Louis_Frolio, really appreciatable!