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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
The SAS Data Management team has been on a GDPR roadshow. In addition to customer meetings, we were also privileged to meet academics and journalists who are helping customers navigate implementation choices. In Slovenia, I had the opportunity to reflect with Miran Varga for Delo on some of the journey
Today there is a lot of talk about why analytics matter. New times and the new digital world calls for new ways of working. We know that we have to increase the productivity of knowledge work, and analytics is the key. The big question is HOW. How to unlock the
Challenging times are ahead for the European finance sector in the coming half year, with new demands for compliance regarding anti-money laundering (AML) detection and customer risk assessment. In less than six months, all changes related to the European Union’s Fourth Anti-Money Laundering Directive will be legacy in full effect,
Privacy continues to be an emotive issue and with the General Data Protection Regulation (GDPR) just around the corner, we have been examining some of the broader implications for companies that store personal data of European customers and/or employees. In a recent study on the status of the implementation of
Big Data Innovation Lab is an environment where you can bring all the people and technology together and test the analytical value of your data. The Lab comes with the latest data technologies to tackle data regardless of format, structure or size. You'll be able to experiment, make adjustments and if you find analytical