The General Data Protection Regulation, or GDPR, comes into force on 25 May 2018. It has been a topic of considerable interest recently, and particularly its likely effect on individual sectors or business areas such as marketing and sales. Software manufacturers and consulting companies have been developing and launching solutions
I have cought up with Dr. Volker Stümpflen, Head of Data Strategy and Operations at Mediengruppe RTL, to talk about the use of real-time analytics. He is primarily responsible for the development and expansion of data science activities and the realisation and monetisation of specially analysed data models with a focus on
Did you know that whether you own a car, and the colour of your car, can give some very interesting insights into whether you will pay your taxes? This may sound unlikely, but recent work with a European national tax office using some highly detailed data found some fascinating connections.
It is estimated that that many companies now hold over 80% of their data in an unstructured form. In other words, not as numbers or code, but free text. This textual data arises from social media, customer comments, call center notes, books, emails, messages and the like, and holds enormous
Industry 4.0 has become a watchword for manufacturers, but I’m not sure the implications are clear to many. Hyperconnected customers are the fundamental premise of Industry 4.0 and they expect more than good quality. They expect their manufacturers to also behave like retailers and service providers. Real-time and predictive engagement
Predictive modelling solutions typically rely on the availability of good quality data and subsequent models which are estimated in advance using historical data. For example, a credit scoring framework to predict propensity of customer default requires the use of clean processed transactional and demographic data. Datasets used for this type
