iiinova — where your digital self keeps evolving

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Owen Boswarva @owenboswarva.bsky.social · 21/08/2026

The Single English County Saying No to Palantir www.wired.com/story/the-si... on the Analytics and Data Science Platform (ADSP) used by the NHS Greater Manchester Integrated Care Board #NHSdata #patientdata #govtech #techpolicy

The health care board for one part of England, Greater Manchester, has repeatedly declined to adopt Palantir's FDP, choosing to stick with a home-spun platform developed over the best part of a decade. The board claims it doesn’t need Palantir, that its own platform is functionally superior and more trusted by the public. "[Even] a technically strong platform will struggle to realize value if clinicians, data controllers, patients or the public do not trust it," Matt Hennessey, chief data and analytics officer at NHS Greater Manchester, tells WIRED. "If we were to fully adopt the FDP … it would be a retrograde step."

That claim—disputed by Palantir and other FDP advocates—has fed into a national debate over whether the government should seize an opportunity next February to terminate the NHS contract early, instead of allowing it to run until 2031.

1:17 PM · Aug 21, 2026

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Owen Boswarva @owenboswarva.bsky.social · 21/08/2026

Interview with Matt Hennessey from 2024: How digital transformation is working in Greater Manchester healthcareleadernews.com/insight/how-... This seems to be the ADSP stack

VV: What technology are you using to interpret the data?

MH: One of the things I've tried to do for the Greater Manchester system is an analytics and data science platform (ADSP). A lot of times, when people describe platforms, there are sort of proprietary single-supplier platforms. You could mention Cerner or Graphnet, or these big suppliers.

Our platform is supplier-agnostic; I describe it more as a tool belt. We have something called Snowflake, which is our data cloud. And we've got another component, which is Matillion, which is what moves the data around and helps transform the data.

We use DataRobot as our enterprise, machine learning and AI tool. We use Tableau to visualise our tools. There's a whole suite of components in the tool belt. And the idea, from my perspective, was that we didn't get a vendor lock-in or there wasn't anything that was too sticky. If our visualisation software seemed not to catch up with the latest, we could just swap it in and swap it out without destroying the entire infrastructure.

The ADSP also deals with data on finance, workforce, events, and some supply chain data. For example, have we got enough PPE? The platform deals with the entire data landscape, I suppose, in respect of both health and care.

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