Data, built around the business
Senior expertise, without building an internal data team.
Marketing says one thing. Sales says another. Finance has a third version.
Bring the numbers into one trusted view.
The sweet spot
It rarely starts with “we need a data platform”
There are many signals. Rising marketing costs or investor questions. Perhaps a new sales channel, subscriptions, inventory pressure, international growth or the first AI conversation.
Marketing spend is rising, but attribution is unclear.
A new channel or subscription model has outgrown the spreadsheet.
Inventory, margins and international operations are harder to plan.
The leadership team needs better answers for a board or fundraise.
You want to use AI, but your business context is scattered.
Implementation modules
Make the company's data usable.
Connect core systems and create a reliable commercial data environment that becomes the foundation for everything else.
The outcomeOne trusted data layer instead of multiple competing versions of the truth.
Typical workData pipelines · APIs · warehouses · data models · metric definitions · customer views · marketing, subscription and operational data · data quality
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Turn data into something the business can actually use.
Build the decision tools, analysis, workflows and lightweight applications your team needs to make better decisions.
The outcomeLess manual analysis and faster answers to important business questions.
Typical workCommercial reporting · KPI systems · automated insight · dashboards · inventory tools · customer analysis · internal applications · data capture · workflow automation · synthetic research
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Use what has happened to anticipate what happens next.
Where predictive modelling creates genuine value, add focused machine-learning capability to the data foundation.
The outcomeMove from understanding the past to acting on what is likely to happen next.
Typical workCustomer segmentation · churn · propensity · lifetime value · forecasting · recommendations · demand prediction · anomaly detection · predictive and synthetic attributes
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Give your team a practical AI interface to the business.
Build AI systems that work with your actual commercial data, definitions and business context, rather than generic chatbots.
The outcomeTeams can investigate performance and surface insight without waiting for another query or report.
Typical workNatural-language data analysis · MCP interfaces · management summaries · Slack and Teams assistants · analytical agents · business-specific tools · guardrails and controlled data access
Explore this moduleFor the longer view
For businesses that need continued specialist input, The Data Studio can work as an ongoing data and AI partner, prioritised around what matters now.
Explore the partnershipStart with a useful conversation