How Machine Learning and Big Data Can Be Harnessed to Achieve GDPR Compliance

Ask anyone with responsibility for corporate compliance, company data or customer information what is keeping them awake at night and the answer is likely to be the EU General Data Protection Regulation (GDPR).

This is a piece of legislation so far-reaching that it will impact every single European individual who has shared their personal data with an organisation, and every single organisation that holds information on European citizens.

The stated objective of GDPR is : “To give citizens back control of their personal data, and to simplify the regulatory environment for business”.

Big Data Sets Require Big Compute Power

The temptation could be to throw as much manpower as you can at the mammoth task of trying to find, classify and organise every data point that you have, but there is a smarter way: using Machine Learning and Big Data.  Here’s why we think it’s the right approach:

Digital Audits = Nowhere to Hide

Within many organisations are terabytes of shadow data held in places including redundant servers, duplicated databases and email servers where customer information has been shared across the business or with third parties.  Digital audits exclude the possibility of data being accidentally missed, or hidden by an employee wishing to cover up a mistake.

Big Data = Rapid Search

How we search today has been shaped by our experience of search engines.  Applying Big Data principles to GDPR compliance means that what would previously have been a manual exercise becomes as simple as using keywords and a browser.

Machine Learning = Intelligent Classification

Machine Learning enables you to define a set of criteria after which it will automatically seek and classify data and continue to do so as data is added – moving you from a ‘point in time’ exercise to an ongoing position of compliance.

Software Driven Discovery Uncovers the Unknown

A manual audit of your business would deliver results that are only as good as what your employees have chosen to disclose.  Software driven discovery removes the risk of human error or cover-up, materially reduces the amount of time and cost that the discovery process takes and produces an easy to understand data map that shows a clear, actionable path to remediating your risks.

Automated Processes = Consistency

Key to GDPR, or any compliance, is consistency.  Automating processes means that you’ll get the right result, every time.

To read more on why we believe that data management is at the heart of GDPR regulation, download our whitepaper here. To speak to us about how we can help you meet GDPR regulation faster and with more accuracy than a standard consulting engagement, get in touch.