Since the dawn of analytics we have strived to improve both the quality and volume of our data, with no other ambition to ensure the largest possible dataset – not because we need it, but because we might need it. GDPR have temporarily put a wrench in our original approach, but it takes more that the law to keep a good analyst away from his data and with Machine Learning as an active part of the toolbox the value of data have grown exponentially. The sessions in a reflection on how we have done things so far and where we might end if you don’t stop doing business as usual and instead calibrate our efforts in a more strategic and ethical direction.

While the ink is dry on the final text of the GDPR since May 2016, the same can not be said for the courts. They are busier than ever with respect to data protection litigation! (there hasn't been a lot before to be honest as the legal instruments weren't as adequate)