The looming deadline for the enforcement of General Data Protection Regulation legislation has thrown into sharp focus the problems dealing with legacy data can cause businesses and organisations in the here and now.

What if there was a single application businesses could use to make the appropriate checks quickly and easily, and therefore act on them efficiently while making them GDPR compliant?

It’s the sort of scenario the Dynizer from Dynactionize was built to handle. Described as a ‘structured data space’, the Dynizer creates a bridge between the data used to make decisions and the data that helps businesses improve the way they do things.

Adopted more than two years ago and designed to harmonise personal data privacy regimes across the European Union – and in that way to make it more simple for international businesses to comply with EU regulation – GDPR’s arrival has nevertheless caught many organisations cold and left them panicking about whether their data processes are compliant or not.

Many organisations know they have people’s personal data – often in diverse and separate databases – but they’re not sure whether they are entitled to keep it or use it.

And the problem is compounded because in trying to find out they run the risk of duplicating the very data that’s causing them problems in the first place.

What’s required is a platform that will pull it all together, identify potential problems and flag them up without replicating them in yet another space.

The Dynizer can take in data from many sources and process the information – from rows and columns, or from free text, or any combination of the two – into one unified resource which can then be made available to a wide variety of applications.

In the GDPR context, for instance, it makes it possible to create something as simple as a dashboard that reveals the information about personal data without divulging the details contained within.

It starts with creating a data model within the Dynizer that identifies the type of data elements in the initial source and whether they put GDPR compliance at risk.

The application can tell an organisation what the source of the data is and its type – an email address, telephone number or postal address for instance – and whether or not they have consent to use it.

In terms of the application, the data upon which decisions are made can remain entirely anonymous, because in this situation it is the type of data, not the data itself, that becomes important.

Going forward, the enhanced information about what it actually is informs the operational choices over what to do with it – even if that means it should be deleted, or action taken to ensure that consent is gained and compliance is assured.

All this can happen without having to change existing data applications, but for the future it would ensure continuing compliance with GDPR regulation.

It does also mean that a Dynizer-powered GDPR compliance application could be used to clean data from many sources to be stored in full accordance with the legislation in a single unified storage solution for faster, better informed decision-making into the future.

by Michael Brands

Michael Brands is CEO of Dynactionize NV and the inventor of six patents related to efficient data analysis, usage and storage. He holds degrees in linguistics, philosophy and computer science.