In my previous post, I talked to Prenton Chetty, Head of Analytics at Nedbank, about changes to analytical projects. In this post, we discuss how data science teams are organised and the operational challenges of running this type of team. Do you think data science teams should be centralised or
I get asked a lot of questions by customers at all levels. They all want to know how to solve their problems, and it is part of my role to help them find answers. The range of questions is extremely broad. Data scientists want to know how they can improve
Today’s customers are online 24/7 and expect personalized experiences in all interactions regardless of the channel they use to communicate with your brand. You, as an organization, have to create satisfying customer experiences by delivering the next best action based on the customer’s priorities. The question is: why is data
Lately, the media has again been focusing on the debate about how we can do more for society's vulnerable groups, including children. This is an important debate and an area that we at SAS already have much experience with: when you apply analytics to the right data, something important happens.
More than three-quarters of companies are still unable to integrate customer insights in real time. In practical terms, this means that their customer experience is likely to be less than ideal – and that is likely to cost these companies money. The cost of poor customer experience Figures from Gartner
The use of antibiotics is growing rapidly. Excessive or inappropriate prescriptions of antibiotics and lack of follow-up on treatments results in antimicrobial resistance. The antimicrobials become resistant, and therefore they do not act on antibiotics as expected. This makes treatment ineffective, and already now 20-50 percent of all antibiotic prescriptions
When I talk about marketing with my customers and at events, I discuss how analytics, including using artificial intelligence ( AI ) and machine learning, can drive improved customer experience. I often say that without analytics, marketing departments might as well just go home. Technology, data and insights In today’s
You may never have heard of it, but the small, West Yorkshire town of Hebden Bridge is the UK’s best place to live. Whenever a value judgement like this is made it’s easy to dismiss it as subjective. Surely the UK’s ‘best’ place is down to preference and will be
In my last post, I talked to Prenton Chetty, Head of Analytics at Nedbank, about the impact of analytics on the business, and how modelling has changed the conversation and improved decision making. This post continues our discussion, and explores Prenton’s views on how data science is changing with AI,
In the following 2012 season, NBA teams shot an average of 18.4 three-point shots per game, which had risen by four shots per game since the 2001-02 season. Just five years later, this number rose by 8.6 attempts per game, to an average of 27 attempts in 2017. But what caused this increase?
