Diederick Gerritsen is DI Netherland’s Practice Area Leader for the Insurance industry. He is a firm believer that business intelligence technology will change the way insurance companies do business. With over 25 years of experience, Diederick combines a strong understanding of the industry’s data challenges with the ability to find practical solutions.

Jan-Willem has a degree in Business Mathematics and a huge interest in finding practical ways to apply mathematics and statistics in Diver applications. Always at the cutting edge of new statistical technologies, he has developed extensions for DI Production using bespoke packaged nodes of parameterised R code, which add tremendous statistical and forecasting functionality to the Diver suite.

Olof van den Berg is Dimensional Insight Netherlands’ Practice Area Leader for Youth Healthcare. He is driven by a mindset that always seeks for solutions that reduce complexity, improve performance and enhance insight and clarity of information. While doing so he aims to create products that can be used for an industry-wide implementation, combining the knowledge he has gathered working for different healthcare organizations, making it easier for them to improve where others have provided a stepping stone towards achieving their goals.

As Dimensional Insight Netherlands’ Practice Area Leader for Procurement, Sander is responsible for delivering innovative spend data analytics solutions based on the Diver Solution. His clients range from healthcare institutions to large international enterprises such as Johnson and Johnson. Sander works with DI’s software such as Visual Integrator and Diver to consolidate, standardize, enrich and visualize spend data.

Shaun is DI NL’s practice leader for data visualization. Shaun’s training sessions and presentations have inspired many developers around the world to change the way they think about data visualization. Shaun brings more than 25 years of experience in data analytics and strategic consultancy. Recently he lead an innovative project in predictive analytics aimed at developing algorithms for infection risk modelling.