GDPR Readiness – You’ve Got to Be Kidding Me

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GDPR Readiness – You’ve Got to Be Kidding Me

I am all for General Data Protection Regulation (GDPR). It has brought the protection of privacy information to the attention of CIOs all over the world. News reports about organizations struggling to comply are disturbing. You mean you don’t know what data you have or where it is? You’ve had two years and you still can’t find it? You’ve got to be kidding me.

I am not saying it’s easy for those organizations with massive amounts of unstructured and structured data to pull together a holistic view of all data surrounding an individual. Risk identification and mitigation of any organizational risk should be a high priority, regardless of whether the driver is GDPR, security, compliance, or loss of revenue. Every organization has its own unique risks, but risks need to be identified and eliminated.

The problem, of course, is visibility across all data, regardless of type. A pretty tall order. Analytics help but are based on asking the ‘right’ question to assemble a complete data set for analysis. I would wager you won’t find all the data. Some recommend natural language processing (NLP). Well, NLP is excellent for entity extraction, in fact we use NLP in our software for that very purpose, but it is something computers struggle to master as it tries to connect the dots to create meaning from human language, which is rarely precise or plainly spoken.

Our insight engine finds all relevant data and content. Transparently, the technology generates semantic multi-term metadata – we call it compound term processing. It then classifies the metadata against one or more taxonomies, which can be tuned or tweaked by subject-matter experts.

As an insight engine, it will also find relevant content, even if it doesn’t contain the search criteria but instead is inter or intra-related. We work with clients on GDPR to identify all relevant data. It’s up to you to decide the disposition. It’s actually a metadata technology framework, so it’s not a one-off deal. You can use it in any application that contains metadata, to address challenges such as identifying privacy and sensitive information vulnerabilities, improving search, records management, text mining, or migration.

If you need to proactively manage your data and content assets, then we can help. Gather your colleagues for a customized demo to address your challenges.

Join us for our Discovery, Risk, and Insight in a Metadata-Driven World webinar, on Wednesday, June 13. Discovery, risk, and insight mean something different to every organization, even at different locations within the same company. This webinar shows the automatic generation and use of semantic metadata, to gain a detailed view of risk mitigation for data security, compliance, and operational intelligence.

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