How to optimise probabilistic matching performance on massive data sets

by Matthew Harris on 13 September, 2017

Within a probabilistic matching* engine (PME) there are 3 key stages: Standardization Candidate Selection Comparison *For an explanation of probabilistic matching see my previous blog here. These 3 key stages, when implemented together, allow for very efficient performance on massive data sets, both in terms of speed of matching...

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Why probabilistic matching is not a black box

by Matthew Harris on 27 July, 2017

What is probabilistic matching and who cares? If you are a developer then you probably (!) already know that it is possible to trace back everything that happens in a probabilistic algorithm and why it happens. If you are a business lead interested in business outcomes only then perhaps...

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A six-step action plan for EU GDPR consent mastering

by Jason Edge on 20 March, 2017

Why GDPR is relevant to all of us All EU citizens, as data subjects, have a vested interest in industry getting GDPR compliance right because it can impact our trust in the organisations who hold and process our most personal information. If you are a Data Controller or Data...

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