BLOGS

How to treat a cancer patient? Let the computer guide you!

AI can make an impact in many industries, but in the health industry it can mean the difference between life and death. Here’s why oncologists and other experts should rely on machines when...

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Share our fitness data with our health insurer? Why not!

In the US, some health insurance companies are rewarding their customers for sharing their fitness tracker data. Over here, such initiatives meet more criticism and skepticism from privacy groups. But...

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CDO of the Year: the important award that will hopefully disappear

On October 24th in Brussels, I will be attending a first in Belgium: the election of the CDO of the Year Award.

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The Five Tribes of Machine Learning

When we talk about machine learning, people often assume that this is one single homogeneous discipline and technology. But in reality, it is a very diverse set of theories and disciplines grouped...

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One directive is worth more than a thousand graphs

Delivering visual insights from unstructured data is just half the work. The most crucial part of any successful analytics story comes after the data has been crunched. Sometimes, we tend to forget...

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Baloise leverages analytics to power its decision making process with Anabel

Baloise Insurance is unlocking the full potential of its data with the Analytics for Belgium (Anabel)-project. The insurance company was faced with a large amount of valuable but of unstructured and...

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Daikin improves margins using analytics powered supply chain forecasting

Microsoft Excel has its limits, and Daikin had run into them managing their complex supply chain. Limited room for consolidation and an error prone workflow prompted the company to look for a better...

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A practical guide to database management

Machine learning, Artificial Intelligence: the possibilities are endless and more and more companies and organizations are putting them to use. However: one key condition to start using advanced...

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SAS Academy for Data Science nominated for Computable Awards

ICT magazine Computable has nominated SAS and Procam for the 2018 Dutch Computable Awards, for the category of ICT trainer of the year. 
The SAS Academy for Data Science is one of the ten courses...

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OUR BLOGGERS

Albert Derasse

Albert Derasse

Albert Derasse is a true multitasker: apart from his job as Senior Business Solutions Manager Customer Intelligence at SAS South West Europe, he is also lector at ICHEC Brussels Management School, teaching students the art of marketing strategy. Albert is a customer-driven marketeer with a great capacity to listen first and then turn the input into strategy and results. On World of Analytics Albert will share stories based on his experience in helping companies find more profitable growth opportunities and amplify marketing initiatives.

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Mathias Coopmans

Mathias Coopmans

Mathias Coopmans combines business curiosity with technical skills, a powerful combo many professionals can only dream about. Passionate about big data and business analytics, Mathias helps companies across South-West Europe create value from Hadoop - the open-source data storage and distributed processing platform – integrating it into their business, both on the technical side and at the strategic level. Analytics and Big Data put to work, the best of both worlds!

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Steven Hofmans

Steven Hofmans

Marketing has been a department driven by gut feelings for decades. The last few years, these instincts can be supported and eventually replaced by solid facts and figures.
Steven Hofmans helps companies achieving this data-driven marketing with the solutions offered by SAS. His knowledge of the technology combined with his thorough understanding of the ins and outs of marketing activities make him an expert in the field of data-driven marketing.

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Mieke De Ketelaere

Mieke De Ketelaere

“Mieke combines a contagious enthusiasm with a deep knowledge on customer intelligence and digital transformation”, a nice reference on LinkedIn and a nice introduction for Mieke De Ketelaere’s bio. Mieke is Customer Intelligence Director at SAS for the South West Europe region. She has worked for several multinationals on all aspects of customer relations including transactional CRM, advanced analytical customer insight and interactive marketing. She is specialized in helping customers in defining the steps to grow in maturity in customer experience, customer intimacy and customer lifecycle management. Lately, Mieke De Ketelaere started to focus on the value of big data in marketing context. The arrival of new datastreams such as online and social data at one site and the calculation power at the other site, deliver a huge new set of real-time interesting insights at the fingertips of marketers. These new insights, if used wisely, allow operational marketing departments in return to take customer experience and intimacy to a higher level.

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Philippe Van Impe

Philippe Van Impe

“Our mission is to educate, inspire and empower scholars and professionals to apply data sciences to address humanity’s grand challenges.” There you go, Philippe Van Impe in a nutshell. Quoting his mission statement to describe Philippe is quite a lot easier than trying to sum up his professional activities: founder of the European Data Innovation Hub, founding partner of the Brussels Data Science Community, ‘social entrepreneur’ and ‘startup coach’. You see, Philippe is a tough professional to capture in such a short bio!

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Frédéric Thys

Frédéric Thys

A mix of business curiosity, technical skills and the urge to write stories that matter…that is what drives Frédéric to blog about. His favorite topic? People Analytics! Or to showcase the value of analytics when unveiling unsuspected connections behind complex human systems and behaviors.
Buckle up for some clear, ready-to-use insights in how analytics measure the human attributes of consumers and employees to predict the success or failure of a venture, and to model and optimize teams and companies. Because business is about people, about making people happy and comfortable. And to be successful in business we need time and analytics to know how to make this happen.

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