Modernise
Your data infrastructure was built for a different era. Let’s change that.
The platforms and pipelines running your enterprise today were built for a different era. Legacy ETL tools, ageing databases, and fragmented architectures compound technical debt with every new initiative and put every AI ambition further out of reach. Modernisation changes that. Faster pipelines, cleaner architecture, and a foundation that supports what comes next.
Nearly three decades of modernisation work has taught us that the hardest part is rarely the software. It is the teams, the processes, and the disruption of moving from something familiar to something new. We know how to make that feel less like upheaval and more like progress.
Getting your pipelines fit for purpose
Data engineers in most enterprises spend around half their time maintaining existing pipelines rather than building anything new. Not because of a skills shortage, but because fragmented, brittle integration estates leave no room for anything else.
We assess your current pipeline landscape, map a modernisation path that fits your constraints, and migrate workloads to modern, unified platforms that handle batch, streaming, and everything in between from a single control plane. IBM DataStage, IBM watsonx.data integration, Confluent and IBM StreamSets are the core tools we use for this work.
Moving on from databases that have reached their limits
IBM Db2 and Netezza have earned their place in enterprise data but on-premise database estates carry weight that cloud-native platforms do not: infrastructure overhead, licencing complexity, and a performance ceiling that prevents them from supporting real-time and AI workloads at the scale modern business requires. We plan and deliver migration programmes that preserve data integrity and business continuity while unlocking the performance and scalability that cloud-native databases make possible.
That includes organisations who have already moved to Snowflake or Redshift and found they have hit new limits – SingleStore is often the right answer there.
Simplifying a data estate that has grown beyond manageable
We map what you have, identify what to consolidate and what to retire, and deliver a unified foundation using IBM DataStage, Confluent, IBM StreamSets, and IBM watsonx.data integration that both real-time data and production AI can rely on. The reduction in cost and operational complexity is consistently significant.
Every project we deliver is built on data you can trust.
That means knowing what sensitive data you have and where it lives. It means protecting it as it moves – through masking, archiving, and controlled access at every stage of its lifecycle. And it means ensuring that the data feeding your analytics and AI is catalogued, traceable, and genuinely reliable before you depend on it.
Learn more about data estate modernisation >
Not sure where your biggest constraint is? Start there.
A conversation with our team is the fastest way to get a clear picture of what is holding you back and what to tackle first.