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INSIGHTS / Case Studies

Building a scalable Data Mesh framework

Building a scalable Data Mesh framework Building a scalable Data Mesh framework
Building a scalable Data Mesh framework
INSIGHTS / Case Studies

Building a scalable Data Mesh framework

Enhancing data accuracy and optimising solutions are key to seamless operations and improving the customer experience. In a bid to modernise and optimise their data infrastructure, our client embarked on a pioneering project to implement a Data Mesh framework—an innovative, decentralised approach that assigns ownership to domain experts instead of system owners, ensuring scalability and data integrity.
 

As a quality-focused delivery partner, we played a key role in supporting the implementation of the Data Mesh framework by embedding quality at every stage, empowering end-users with accurate, powerful, and efficient data systems. Leveraging our expertise in shifting quality left, we established quality gates early in the implementation process. Quality was embedded upfront, meaning we were able to address potential issues before they arose. We rigorously tested both the data and the associated systems. This proactive, quality-first strategy enabled us to deliver a seamless Data Mesh solution, enhancing the customer experience by prioritising reliability from the very beginning.
 

This comprehensive strategy also led to the successful deployment of a future-proof data infrastructure, ensuring long term operational efficiencies and significant improvements in customer service. As Data Mesh is a relatively new concept introduced in 2019, this implementation followed in the footsteps of other global successful deployments, highlighting both our client’s and Planit’s commitment to innovation and adaptability in a rapidly evolving industry landscape.
 

At Planit, we are experts in quality engineering and assurance. With strong retail domain experience, our specialist consultants can help you deliver a seamless omni-channel experience and support the successful implementation and integration of your complex range of backend platforms.
 

Ask us how we can help you delight your customers and unlock more value from your systems!

Key Outcomes:
  • Zero major defects identified in over 1,000 test cases, ensuring a smooth go-live.
  • 40+ design and code flaws resolved pre-launch, enhancing data accuracy, visibility, and overall system performance.
  • 60+ defects caught before deployment, improving data accuracy and reporting capabilities, leading to advanced decision making capabilities.
  • Significant increase in new customer acquisition, driven by the enhanced quality and visibility of data.
  • Multiple internal promotions, directly attributed to the success of the Data Mesh project and its transformative impact on business operations.

Technologies
  • Greenplum Big Data 
  • Python

Delivered:
  • Quality Engineering 
  • Test Automation 
  • Data Transformation 
  • Developer Training 

Tools:
  • DBT
  • JIRA
  • Confluence
  • Tableau
Download Full Case Study