How can a knowledge graph based data management simplify and automate GDPR processes and establish full transparency on personal data throughout the entire enterprise? This presentation shows how a knowledge graphcan establish a single source of truth in a company with even hundreds to thousands of disparate systems. In May 2018, a large German powertools manufacturer looked for a way to address the arising challenges of the General Data Protection Regulation (GDPR). They had identified two main challenges that needed a technical solution. 1) How can the Data Protection Officer find out, if personal data of a person filing a Subject Access Request under GDPR is stored and processed in any of the company's systems at all? 2) How can a Data Protection Officer find all data and ensure comprehensiveness? This presentation shows how a large powertools manufacturer were able to get order in their GDPR process within just a few months, to integrate a search module across all applications as well as to establish a lean process for reporting under GDPR. The presentation will also outline the limitations of classical data management approaches.
SEMANTiCS-2019_Industry-Track-GDPR-Case.pdf
eccenca GmbH
https://www.eccenca.com
Magnus Knuth is Senior Linked Data Consultant at eccenca GmbH. After graduating with a Diploma in Computer Science at Leipzig University, he worked as a Research Fellow at IMISE Leipzig, in the Semantic Multimedia research group at Hasso Plattner Institute in Potsdam and with the DBpedia association. Magnus' interests lie in data modelling, data quality, and change management.
