A Story of Owning Change

The challenge:Compromised Data Processing Capabilities

In a quest to become more data-driven and customer-centric, our customer embarked on building a centralised data processing platform. Recognising early that the first development phase had not delivered the functionality their ambitious data strategy required, their IT leadership took the decisive step of bringing product development in-house to regain full control over the platform's technical direction.

Rapid business growth soon created an urgent, parallel need for genuine real-time data processing capability, well beyond what the existing platform could support. Committed to building it right rather than patching prior shortfalls, our customer set an uncompromising technical bar and partnered with TEKsystems to re-architect the platform from the ground up.

Our proposal:Comprehensive Data Platform Architecture Rebuild

TEKsystems diagnosed the technical shortfalls in the platform's first-phase build and defined a comprehensive re-architecture plan addressing their root causes directly, rather than applying short-term fixes. We then executed a phased programme spanning architecture revamp, data modelling, and platform expansion, delivered with the rigour our customer's ambitious data strategy demanded.

• Architecture Revamp: Redesigned the platform's core architecture end-to-end first, resolving the performance and reliability shortfalls of the prior build at a structural, not superficial, level.
• Data Modelling: Rebuilt underlying data models from first principles on top of this new architecture, to support accurate, scalable processing across expanding business functions and growing data volumes.
• Real-Time Processing: Engineered a genuine real-time data processing system from the ground up on this foundation, replacing legacy batch-based limitations entirely and unlocking new analytical use cases.
• Platform Expansion: Extended platform capability from two departments to support ten-plus business functions across the organisation, without compromising performance at scale.
• Delivery Governance: Established structured delivery checkpoints and technical review gates throughout to maintain build quality, learning directly from the shortcomings of the previous vendor engagement.