DateFriday September 13, 2019 from 9:00 AM to 6:00 PM
BuildingLuna - room Corona
OrganizerTU/e BI Cluster
Stay ahead of business intelligence demands from your organization and keep up with the latest developments in the areas such as big data, data science, machine learning, deep learning, cloud computing and artificial intelligence.
Visit the BI summit, this year organized at Eindhoven University of Technology. With this community event we offer a rich variety of internal and external speakers providing the latest insights from their field of expertise.
Make sure you don´t miss out this event and register now!
ATTENTION: the event and various sessions will be held in Dutch
|09:00 – 09:30||Coffee & tea|
|09:30 – 10:00||Welcome & introduction|
|10:00 – 10:45||Reinout van Brakel (VSNU) – How are university data used for policy decision |
|11:00 – 11:45||Parallel sessions: |
Bas Rekveldt (Scamander) – How to satisfy all your information customers
Mark Neijssel (CWTS) – Bibliometric rankings, gender & open access
Ronald Buijsse (JADS) – Pain, gain and fun projects of Data Science (40 seats)
Rens van Erk (Deloitte) – Data visualization take-aways (20 seats)
|12:00 – 13:30||Lunch break|
|13:30 – 14:15||TU/e’s Comprehensive forecast 2030 in Power BI|
|14:15 – 15:00||Interactive session|
|15:00 – 15:15||Short break|
|15:15 – 16:00||Piet Daas (CBS) – Big data meets official statistics|
|16:00 – 16:45||To be defined|
|16:45 – 17:15||Wrap-up|
|17:15 – 18:00||Drinks and networking|
Bas Rekveldt - How to satisfy all your information customers
Bas Rekvelt is a datascience consultant at Scamander and implements datascience models in healthcare and education.
Information must be fit for purpose. And that purpose is determined by a diverse group of information consumers like scientific experts, business controllers, project managers, faculty managers etc. It’s quite a challenge to keep them all happy. A proven instrument is the so-called holistic Damhof approach supported by an easy to use four-quadrant model. Applying this model increases your control over data supply and information demand. This session explains the model in context of university business control and scientific application of data.
Mark Neijssel - Bibliometric rankings, gender & open access
At CWTS B.V. Mark Neijssel is responsible for the development of the contract research activities for research performance studies, network analyses & science mapping studies and tailor-made training courses for clients.
The Leiden Ranking is the most comprehensive bibliometric benchmarking tool for research universities available via the web. It measures the scientific performance along various bibliometric dimensions of more than 950 major universities worldwide. Using a sophisticated set of bibliometric indicators, the ranking aims at providing highly accurate measurements of the scientific impact of universities and of universities’ involvement in scientific collaboration.
During the presentation, we will show which information is obtained from the Leiden Ranking, what methodological choices are made and why. Thed van Leeuwen will pay special attention to the two new analytical dimensions included in the 2019 ranking: Gender and Open Access.
Ronald Buijsse - Pain-, gain- and fun-projects of DataScience
Ronald Buijsse is the Academic Director of the Data Expert Program at the Jheronimus Academy of Data Science (JADS). JADS is a DataScience study & research cooperation between the Province of North Brabant, the Municipality of ‘s-Hertogenosch, Tilburg University and Eindhoven University of Technology.
In this session, Ronald Buijsse explains the pain-, gain- and fun-projects of Data Science projects. Data Science is focused on finding, validating and applying relations in data to improve decision making. What is the added value of DataScience compared to Business Intelligence? What is required to successfully implement Data Science? What can we learn from the experiences so far? How to start Data Science: for pain-, gain- or fun-projects?
Rens van Erk - Data Visualization take-away’s
Rens van Erk is a senior consultant at the Department of Visual Analytics of Deloitte Netherlands. He has helped setting up reporting design standards for the BI-environment of the Eindhoven University of Technology.
The possibilities to analyze and translate data into relevant insights is growing rapidly. However, companies struggle with visualizing the data effectively for supporting tactical and strategic decision-making. With this session we give you hands-on guidance in choosing the right visualization for each context.
Reinout van Brakel - Sharing insights across Universities
Reinout van Brakel is Domainleader Accountability at the ‘Vereniging van Samenwerkende Nederlandse Universiteiten (VSNU)’. His team develops and maintains different datasets across all Dutch universities which can be used for benchmarking and/or decision-support.
Reinout van Brakel will present the challenges regarding data governance, legislation and the use of decision-supporting data for the Dutch government and education institutes.
Comprehensive forecasting model – BI-Cluster of the TU/e
The Business Intelligence Cluster of the TU/e is responsible for the BI-Portal at the Eindhoven University of Technology. The BI-Portal provides dashboards, reports, and self-service solutions for the different domains at the TU/e.
In this presentation, the BI-Cluster of the Eindhoven University of Technology will explain their approach for a comprehensive forecast model based on the expected student intake and enrollments. The model generates a forecast for the domains education, finance, HR and real-estate. In the presentation, the design steps and challenges are explained, and the resulting model is presented.
Piet Daas - Big Data meets official statistics
As of January 2019, CBS methodologist and big data specialist Piet Daas is an endowed professor in Big Data in Official Statistics at Eindhoven University of Technology (TU/e).
The topic of this presentation is ‘Big Data meets official Statistics‘: Big data sources offer tremendous potential in the realm of statistics. At the same time we do need to tackle a number of fundamental questions in this respect.