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LoweLabs

Data Products & Platforms

Trusted foundations, data products, analytics engineering and governance.

The offer

No AI or decision tool is better than the data underneath it. We help you find out how healthy your data foundations really are, design what a fit-for-purpose platform looks like, and build a first data product to prove it works, so the next ten are faster and cheaper.

Three ways to work with us, depending on where you’re starting from.

1. Data Health Check

Find & Prioritise Value: 1 to 2 weeks

A rapid assessment of your data foundations against what your business actually needs to do with them (including AI readiness). We look at quality, coverage, architecture and governance, and give you a plain-English view of where the risk sits (derived from DCAM/DAMA standards to align with modern practices).

What you get

  • A scorecard of your data estate against business need
  • The top 5 gaps standing in the way of your priority use cases
  • A clear view of what to fix first (with high level investment estimates)
Best forTeams who suspect their data isn't ready for what they want to build on it.
2. Discovery, Roadmap & 90-Day Plan

Discovery (Prove): 4 to 6 weeks

A structured discovery that turns your data ambition into a concrete plan. We map your sources, design the target data product and platform architecture, and lay out governance so trust is built in, not bolted on.

What you get

  • A target architecture and data product design
  • A governance model appropriate to your risk and scale
  • A prioritised 90-day roadmap with clear ownership
Best forTeams who know they need a platform, not just a fix, and want it designed before they build.
3. Foundational Build (Steel Thread)

Build & Scale: 6 to 10 weeks

We build one data product end to end, a single steel thread through the platform, from source to consumption. It embeds the standards and governance the roadmap called for, so it's not a throwaway prototype. It's the first real piece of the platform. Ready to scale.

What you get

  • A production-grade data product, built and running
  • Best-practice patterns for engineering and governance, proven in your environment
  • A template your team can repeat for the next data product
Best forTeams ready to prove the platform approach on one real use case before scaling it across the business.

Not sure which of these fits?

Start with a conversation.