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    GDPR relevant data enables companies to clean up their databases

    After two years of GDPR, many companies are still struggling to find personal information in their databases. Enterprise search technology can help them. The GDPR (General Data Protection Regulation) has been in force for exactly two years.

    Many companies take note of this anniversary with rather moderate enthusiasm, because it is often still a great challenge for them to meet the requirements of the data protection regulation. This is all the more difficult since the authorities gave up their initial reluctance after the first anniversary. They announced that they would increase the penalties and implemented the announcement.

    One of the biggest problems facing companies is tracking down personal information, given the ever growing flood of data. In systems with their structured data storage, this information can be identified quite easily. In sources such as file share or file storage, this is much more difficult due to their unstructured data stocks.

    This can be remedied by special tools based on enterprise search technology. Modern solutions for company wide searches are able to record content thematically, automatically sort data and recognize relationships between data. They are equipped with a comprehensive technology stack of machine learning as well as rule based, linguistic and semantic processes. This means that they can also be used excellently to track relevant data in unstructured stocks.

    The company’s data protection officers are given the opportunity to find out where the related data is located. Using personal aspects such as names, addresses or customer data have a list of the documents in question sorted according to frequency of occurrence. These can also include employee or customer lists, the existence of which you might not even know about, for example because they were incorrectly filed.

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