A market-leading supplier of telecom tower infrastructure operates in high-growth markets. To consolidate their systems and data streams, data samples were gathered from various systems and sources to architect and design a dynamic data lake that unifies them all in one place.
As the business scaled, so did its tech stack, resulting in fragmented systems and siloed data. This made it difficult to get a clear, unified view of operations. Leaders needed better answers to complex, cross-functional questions, but without a solid data strategy, critical insights (and opportunities) were slipping through the cracks.
We started by analysing and documenting data samples from multiple systems to design a unified, scalable data lake. This included creating a master schema, archiving strategy, metadata repositories, and robust data lineage auditing. ETL processes were carefully optimised to handle different source formats and timings, and partitioning strategies were tuned for performance. We also ran a market analysis to identify cloud-based tools that could replace bespoke builds, keeping maintenance low and cost efficiency high.
The result: The organisation now has a future-proof data foundation that provides a consolidated view across systems. It supports faster, more reliable analytics, reduces manual overhead, and gives teams the visibility they need to make smarter decisions, without the burden of heavy custom infrastructure.
