The fast moving and continuous evolutions of large IT systems has been the reason for the notable increasing of the complexity of various areas, including that of the “data heritage”.

The ever growing number of data that needs to be managed has been made more difficult in terms of timing for recognition, primarily from a functional level of the meaning of the data itself.

These deficiencies constitute a  weakness, especially during our times where the use of certain data is an item high in the agenda, particularly personal data which are subject to the on-going basic rules of the privacy act (for example GDPR, General Data Protection Regulation – Regulation UE 2016/679).

With regards to “sensitive data” there is a problem when populating the development or test database, which is to the benefit of the application team, with respect to privacy. It is necessary to use masking techniques, altering ad depersonalization of the data so that they will become unrecognizable by the original ones.

We at RES are able to address these issues using our solution DMD (Data Meaning Discovery) and Daisy from the RES Suite: the first is able to “find” sensitive data which are at times hidden in the data design “creases”, the second to neutralize them and make them anonymous.

DMD and Daisy can perform on any data structure, not only of a relational type, but also including for example simple flat-files.

SOLUTIONS

Daisy Suite

Is able to perform data subsetting and data masking in full respect of consistency of references and links, necessary for the preparation of congruent and complete development and test databases in compliance with privacy regulations.

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DMD – Data Meaning Discovery

Allows the automatic recognition of the meaning of data in order to support DBAs, Data Administrators, Application Developers and anyone who is in need of using archives of which they do not have full knowledge.

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