There is a saying that you learn something new every day. The idea behind it is that every situation offers the potential to learn something. In other words, you are always learning from those around you, and from what happens in your everyday life and work. This sounds wonderful. Ongoing
Part 6 of this series takes us to the first Dutch SAS partner, PW Consulting, where I talked with Technical Director Willem Boersma, Data Scientist Wouter Hordijk and Sales Manager Jeroen de Nooijer. Company overview PW Consulting was founded in 1988, one year after SAS Netherlands opened. For those who
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
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,
Innovation labs remain an important way of introducing both innovation and analytics to business, especially as artificial intelligence becomes more important. I caught up with Prenton Chetty, Head of Analytics at Nedbank, to discuss how he sees his role changing in the future. Tell us about your current role at
The SAS Data Science and Advanced Analytics Forum brings together businesses and universities, and at a recent event, universities described courses that focused on providing students with technical skills and competencies to handle data, together with some understanding of how data scientists use software. Businesses, however, emphasised the importance of
Im Gastbeitrag beschreibt Deloitte, wann, wie und warum Unternehmen Data Science benötigen. In den letzten Jahren haben sich analytische Modelle zur Echtzeitentscheidung in vielen Branchen etabliert. So bieten Airlines bspw. im Zuge ihrer Customer Journey individualisierte Angebote. Selbiges gilt auch für den Onlinehandel. Da es sich bei Data Science um
Zur Person: Dr. Volker Stümpflen verantwortet als Leiter Data Strategy & Operations bei der Mediengruppe RTL vor allem den Auf- und Ausbau der Data-Science-Aktivitäten sowie die Realisierung und Monetarisierung speziell analysierter Datenmodelle mit Fokus auf Nutzerverhalten und Nutzerbedürfnisse. Er verfügt über große Erfahrungen mit der Vernetzung großer Datenbanksysteme und Applikationen,
Background: Prof. Dr. oec. HSG Holger K. von Jouanne-Diedrich ist seit 2013 Professor für Wirtschaftsinformatik und Customer Relationship Management an der Hochschule Aschaffenburg, Bayern. Er promovierte am Institut für Wirtschaftsinformatik der Universität St. Gallen, Schweiz, und studierte Betriebswirtschaftslehre an der Universität Hamburg. Weiterhin hatte er verschiedene Stationen bei der Lufthansa, der
Social skills are not, perhaps, the first words that many people would associate with data scientists . They are far more likely to be seen as geeks, communicating mainly with computers. But the world of data science is changing, if indeed that geeky perception was ever true. Nowadays, data scientists and
With the spreading of artificial intelligence, advanced analytics tools have already conquered many areas of life. The SAS Analytics Day conference in Budapest (Hungary) examined the present status and the future potential of data science.
If you are asked to give an example of using mathematics in everyday life, most people will immediately think of dividing the bill in a restaurant, or possibly calculating percentages. For most of us, this kind of maths will not be a problem, but somehow the whole idea of maths
A restaurant cannot survive without customers. It does not matter how cutting-edge or delicious its food, or how many Michelin stars it has earned. The equation is simple: If it has no diners, there will be no income, and the restaurant will go out of business. This insight could be
Don`t jump into modelling. First, understand and explore your data! This is common advice for many data scientists. If your data set is messy, building models will not help you to solve your problem. What will happen is “garbage in, garbage out.” In order to build a powerful machine learning
I bet many of you didn’t even know the term machine learning five years ago. But Gartner did. The Gartner Magic Quadrant for Data Science and Machine Learning Platforms, 2018 was just released, and SAS has been in the leader’s quadrant for five years straight. According to Gartner, “This Magic
A recent documentary on TV amused me. It asked teens what they want to do professionally. The answers included YouTube star, DJ and – over and over again – “influencer.” Quite apart from the fact that all these are relatively new jobs, they also have something else in common: There
Part 5 of this series brings us to Rotterdam again, where I met with the two Notilyze founders Colin Nugteren and Tom Dogger. Both of them studied econometrics in Rotterdam, but go back as far as the F4 soccer team they were both playing in as kids. Company overview The
Kürzlich habe ich mich sehr amüsiert über eine Reportage im Fernsehen: Man fragte Jugendliche, was sie mal beruflich machen wollen, und die Antworten waren „YouTube-Star“, „DJ“ und immer wieder auch „Influencer“. Letzteres ruft gerade bei der Ü30-Generation Verwunderung hervor, da man irgendwie an Grippe denkt – die Aussprache ist gleich,
Students live and thrive in a community: the student body and its associations form a relatively tight-knit group that provides — or should provide — support and encouragement on an ongoing basis. For those away from home for the first time, this community can be a life-saver, almost literally in
There are not many conversations, presentations or media briefings about analytics that don’t at some point touch on the issue of ‘people and skills’. Convincing business leaders of the merits of analytics given the technology now available is often the easy part. It inevitably leads on to what the barriers
Im Jahr 1963 wurde zu Silvester erstmals der Sketch „Dinner for One“ mit dem britischen Komiker Freddie Frinton im deutschen Fernsehen ausgestrahlt. Im Laufe der Jahre wurde diese Sendung zur lieb gewonnenen Tradition und erlebt immer wieder Phasen, in denen sie zum Kult avanciert. Die zentrale Frage lautet ja bekanntermaßen:
There is a quote that is often attributed to one of the founding fathers of the Society of Jesus, the Jesuits: Give me the child for the first seven years, and I will give you the man. The idea is that what a child learns in their early years will
In 1963, the British comedian Freddie Frinton performed “Dinner for one” on German TV. It has become a tradition in Germany to watch that short piece of comedy on New Year’s Eve, and the question we always ask beforehand is: “Same as last year?” And that’s my point: Christmas is
There is general agreement that artificial intelligence (AI), data science and analytics have potential to change the world. AI is transforming our society already, and although I see tremendous potential in AI there are pitfalls and important ethical implications that needs to be considered. Science and ethics: Shades of grey
It has been a couple of years now since Bruno Van Pottelsberghe, Dean of Solvay Brussels School of Economics and Management first talked to me about QTEM, or Quantitative Techniques for Economics & Management Masters Network. The discussion really struck a chord with me, because my experience until then had
Employers sometimes complain that new graduates are not ‘job ready’. Often this complaint is about soft skills, such as the ability to work in a team. Sometimes, however, it is about specific technical skills or knowledge required in the role. An example might be particular data science techniques, or perhaps
Meetup is an online social networking service with a difference: It is designed to help people organise face-to-face meetings about topics that interest them. Although it is online, the offline meetings are a key element, unlike Facebook or Instagram, or even LinkedIn, where the online world is paramount. Groups, meet-ups
If you’ve ever used Amazon or Netflix, you’ve experienced the value of recommendation systems firsthand. These sophisticated systems identify recommendations autonomously for individual users based on past purchases and searches, as well as other behaviors. Customers get algorithmic recommendations on additional offerings that are intended to be relevant, valued, and
Here in Canada, we find a data scientist is a wondrous, near-mythical creature. We have all heard the long list of skills required to be a data scientist. For example, software engineer Josh Wills of Slack defined a data scientist as “a person who is better at statistics than any
Meetup ist ein Online-Social-Networking-Service mit einem kleinen Unterschied zu Facebook, Instagram, LinkedIn & Co. Das Format ist dazu gedacht, Face-to-Face-Treffen zu interessanten Themen zu organisieren. Die Offline-Welt ist also ein elementarer Bestandteil. Selbstorganisiert und thematisch vielfältig Gruppen gibt es zu fast jedem Thema: Bücherclubs, Socialising, R-Nutzer, Unternehmer oder künstliche Intelligenz
