So let's unpack this.

We hear a lot about " #dashboards"; we were even promised sight of one, back in March* - though we've not seen it yet.

But what are they, in reality?

__
* https://healthtech.blog.gov.uk/2020/03/28/the-power-of-data-in-a-pandemic/ https://twitter.com/Paul0Evans1/status/1307323299966353413
...and we know @NHSEngland's hoovering up *at least* 70 different datasets into its #DataStore (the list at https://data.england.nhs.uk/covid-19/  is no longer comprehensive due to the controversial contents of some of the datasets).

As its " #PrivacyNotice" points out,
https://www.england.nhs.uk/contact-us/privacy-notice/how-we-use-your-information/covid-19-response/nhs-covid-19-data-store/
... @NHSEngland is using @Microsoft @Azure to process all the patient data it holds, which it #pseudonymises (i.e. replaces obvious #identifiers with a pseudonym; what in law and in practice is still #identifiable #PersonalData) before @PalantirTech sucks copies across into its...
... #Foundry 'data integration platform', which runs on @awscloud.

Everyone's a bit vague about what happens next, but we do know that it's not just @PalantirTech but Dom Cummings' favourite firm, @faculty_ai, plus @Deloitte & @McKinsey 👇 who are making/linking the #models...
...which ' #interpret', ' #predict' or otherwise #process the data that's been fed into the Foundry platform; the *results* of which processing are presented to decision-makers via the ' #dashboards'.

And remember, at this point, we're still only just talking about @NHSEngland's...
..to hope they're keeping any #electoral, and definitely any #PartyPolitical data and processing ENTIRELY separate!

But back to the ' #dashboards'.

Ask yourself - what do they *actually* show? At BEST this is #partial data, of varying #quality, some with significant #timelags...
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