Paul has championed the cause of data analytics and AI within enterprises across the UK and Ireland. Currently, Paul heads the Technology Practice for SAS and works closely with key customers across the region as well as supporting some EMEA-based customers. His current role is to help organizations face their AI and data challenges by adopting an enterprise wide analytical strategy to derive value within their data. Paul enjoys helping companies shape successful outcomes in complex projects.
Let's look at the wider landscape and the direction of our customers, partners and SAS as we move SAS applications to be cloud-native in Viya 4.
Harvard Business Review may have dubbed being a data scientist the “sexiest job of the 21st century”, but that hasn’t necessarily made it easier to find analytics experts. There is still a huge skills gap in data science. Recently I met with Andreas Vermeulen who is Director of Technology and
The banking sector sets a benchmark for other industries in many areas. When businesses need to process large volumes of transactions reliably, maintain 24/7 availability, meet complex regulatory requirements, analyse risks or make financial plans, they often aim to follow the same practices and adopt the same technologies that banks
Does your bank manager know who you are? Unless your net worth is unusually high, the answer is probably no, and that’s been the case for many years. Banks have been using statistical models to inform credit-related decisions since at least the 1970s, and today almost every aspect of operational
By transferring non-differentiating activities to modular industry utilities, banks could potentially improve return on equity by 60 to 100 basis points.
To foster digital business transformation, banks need to redesign both internal and customer-facing processes to embed data-driven decision-making.
Think differently about using storage in the cloud with your SAS Grid jobs, and learn about SAS Cloud Data Exchange for security/caching strategies
Over the last few years I’ve seen and worked on many transformational projects with big data, especially those that tap into big data’s ability to provide new and improved services for the public good. But there’s also a danger that analytics, unchecked, can do social harm by indirectly discriminating against
You have to be "in it to win it" as they say. This is becoming the case for many organisations that need to start using data to make better, evidence-based business decisions. Today, using analytics is not so much a data lottery as a data necessity. Some businesses may not
We’ve all been there. You’ve knuckled down, cleaned out the garage, the attic, and that cupboard under the stairs, thrown away a ton of stuff, only to need it again the very next week. Until recently, that’s exactly what many businesses did with their data. The data explosion has radically
