ITV Data Mesh

ITV faced the challenge of enhancing the development and operation of their Data Mesh Platform. The goal was to ensure not only the technical robustness of the platform but also its seamless availability for both users and automated processes.

Understanding the criticality of the project, RPS deployed two highly skilled offshore DevOps engineers. This strategic decision was not just about tapping into global talent but also about delivering cost-effective solutions, achieving an impressive 40% saving.

Our team played a pivotal role in the transformation of the Data Mesh Platform:

• We led the design, planning, and delivery of new and expanded components of the Data Mesh, prioritized by the Data Platform Product Owner and Tech Lead.
• Our engineers contributed to the production of design proposals and architectural decision records, ensuring that every change was strategically aligned.
• We worked closely with the Tech Lead and Product Owner on delivery plans, including estimated timescales and milestones.
• Adhering to the best practices and standards, our team ensured that all changes were implemented with precision and documented thoroughly, including technical documentation and user support materials.
• Beyond technical enhancements, we provided support and advice to ITV’s Data Engineering and Data Science teams, assisting them in using the Data Mesh effectively and in accordance with governance and technical best practice guidelines.

The project was a resounding success:

• We delivered significant technical enhancements to the Data Mesh Platform, elevating its operational effectiveness and efficiency.
• Our approach resulted in substantial cost savings, demonstrating our commitment to delivering value-driven solutions.
• We provided robust support to ITV’s Data Team, reinforcing our role as a strategic partner in technology transformation.

This case study exemplifies RPS’s ability to deliver expert solutions that are not only technically sound but also strategically and financially advantageous.