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Three pieces of work, each with the problem, what we built and what changed.
Secure data platform for a UK utilities operator: several teams, several data environments and nobody with the full picture. We surveyed the estate, fixed least-privilege access and the data-source approval process, made GDPR requests actionable, and rebuilt the platform as a data lake maintained through infrastructure as code and CI/CD.
Faster trading decisions for a commodity trading business: the existing platform could not keep up with the decisions the business had to make. We designed and delivered a data lake on AWS with near-real-time processing from many sources, meeting the industry’s compliance rules, on time and on budget.
Forward deployed engineer for an agentic workflow: a production line run by AI agents with a human at three gates, built by embedding with the client rather than handing over a spec.
A UK-based business in the energy sector was experiencing ongoing issues related to managing its platform. Our team solved the problems with a new Data Lake solution.
Rapid decisioning, the integration of multiple data sources, flexibility and compliance are essential qualities for IT systems in the commodity trading space. The ability to make trading decisions faster is fundamental to business performance. See how we’ve helped.
If you’d like to know more about how we can help you architect and implement a solution that helps you unleash the value in your data, please get in touch.
Ready to put AI to work on your data? Get in touch with the DataPhoenix team.