Data Innovation Summit – Datascience made in Belgium


Statistics about  the Summit (5/3/2015):

  • 12 hour Live streaming of the Summit
  • 6 cameras, 3 camera teams
  • 7 journalists
  • 59 Speakers,
  • 1 Deputy Prime Minister
  • 1 Rector
  • 22 CEO
  • 10 Professors
  • 15 Start-ups
  • 333 Participants
  • 22 sponsors
  • 1 time keeper
  • main exhibition area
  • vast networking area
  • 1 VIP area
  • 6 main tracks


  1. The Data Innovation Ecosystem
  2. The Enterprise Business Cases
  3. The Innovation Facilitators
  4. The University Challenge
  5. The Startup Sessions
  6. The Open Ignite Sessions

Confirmed speakers:

Kris Peeters | Vincent Blondel |   Philippe Van Impe |Hans Constandt | Toon Vanagt | Damien Bourgeois | Steven Noels | Elena Tsiporkova | Geert Verstraeten | Jan Sonck | Els Descheemaeker | Steven Beeckman | Laurent Fayet | Julie Coyette | Guillaume Gorge | Rik Van Bruggen | Wim Van Leuven | Jonathan Duplicy | Dries Benoit | Erik Mannens |Roald Sieberath | Thibaut Claes | Bart Hamers | Wannes Meert | Dieter Devlaminck | Andrea Dal Pozzolo | David Martens | Daniele Marinazzo | Renaud Lambiotte | Daniel Berckmans | Omar Mohout | Filip Maertens | Kristof Mertens | Mark Turcksin | Daan Gerits | Wannes Rosiers | Eric Charles | Katya Vladislavleva | Erik Laurijssen | Mehdi El Fadil | Kris Peeters | Henk De Metsenaere | Jonas Tundo | Istvan Hajnal | Eric Lecoutre |  Cain Ransbottyn | Sebastien Leempoel | Sam Rédelé | Antoon Dierick | Zbigniew ‘Zibi’ Paszkiewicz | Jochen François | Matthias Vallaey | Tijmen Weddepohl | Frank Vanden Berghen | Ferdinand Casier |

Companies presenting:

Axa euroclear_0 Agoria

sas-logo Keyrus

abl artsen zonder grenzen AXA Belga datainnovation Essent  proximus PwC_fl_c Sign2pay swan insight yazzoom Agoria ARHS-Data Arrow-Group2 Big-Industries-stamp-logo Business Insight Colruyt_logo  datalayer Dataminded_Logo_transparant_96px_0 datylon Deloitte-logo DLA Piper esperity Essent_Logo_NL  evolved-analytics finaxys Graph  iMinds_logo_CMYK Infofarm Informatica-logo Innoviris KBC Startit logo_businessdecision  Logo_Vlaanderen logo-sirris mathworks  microsoft microstrategy Neo4j 1 NG-DATA-logo ontoforce opinum 1 opinum pépite porphyrio predicube proximus_icon Python Predictions sentiance tangent works tribalytics-logo


More info:

Sponsors of the Data Innovation Summit – Brussels

This event is organized by

Brussels Data Science Community

We love doing data for good

Structural Summit Partners

Axa  Agoria  Euroclear

Academic Partners

ucl_logo KUL ULB  Ugent   ULG   UMONS   UNamur   Universiteit Antwerpen   vub_0

Summit Sponsors

sas-logo Keyrus


Business Insight   logo_businessdecisionBig-Industries-stamp-logo  Arrow-Group2    finaxys  datalayer   Infofarm   Keyrus   mathworks microstrategy   neo4j   pépite    sentianceDeloitte-logoRIAInformatica-logo Dataminded_Logo_transparant_96px_0

Job-flash partners




Data scientists aren’t domain experts – Prof Stijn Viaene, 2013

Obtaining maximum value from Big Data projects requires multidisciplinary knowledge in:

  • Business to comprehend the business problems and identify business opportunities that can be tackled with Big Data
  • Analytical to skilfully apply the Big Data models that create the most value
  • IT/Database to understand the IT requirements related to Big Data projects
  • Management to view process as a whole with a focus on change management and people

This Executive Master Class provides participants with the necessary skills to successfully manage this multidisciplinary competencies and to create value with Big Data in their organization.

Are you ready to discover the opportunities out there and be part of a 17 day programme in Brussels and San Francisco?


Why this programme?

By participating in this Executive Master Class, you will:

  • Understand how exploiting Big Data can benefit your company
  • Get a thorough understanding of Big Data modeling techniques
  • Share best practices in Big Data inside and outside your sector
  • Develop a Big Data project for/in your organization


For whom?

Because this programme addresses both business and Big Data, it’s beneficial for a number of professionals. However, understanding Big Data models requires at least a basic analytical background.

This programme is ideal for a multidisciplinary team of 2 people from the following backgrounds:

  • Business analysts who want to use Big Data analytics in a business context
  • Professionals with an IT/technology background who want to learn how this technology can be used to create business value
  • Business experts with a strong analytical background who will be involved in Big Data projects


Module 1 – Modeling

(23, 24 & 25 October 2014; Brussels)

This module connects the worlds of data scientist and business expert by:

  • Presenting an overview of typical analytical & Big Data applications that create value in several industries (Finance, Retail, Telecom, Pharmaceuticals, …)
  • Creating awareness of the latest business trends in Big Data
  • Aligning Big Data investment with business benefits


Module 2 & 3 – Discovering

(27, 28 & 29 November; Ghent – 11, 12 & 13 December 2014; Leuven)

This module introduces participants to more advanced Big Data solutions, focusing primarily on creating value from large volumes of data.

  • The IT infrastructure that is needed to apply Big Data analytics
  • The main advantages & disadvantages of multiple Big Data technologies
  • Data modelling and visualization
  • How to get business value from text data, web data, social network, audio and video data: moving towards customer centricity
  • State of the art in Fraud Analytics: improving Fraud detection using social network analysis
  • Hands-on exposure to tools that turn Big Data into value


Module 4 – Operationalising

(19, 20 & 21 February 2015; Brussels)

This module focuses on turning the insights gained from the previous modules into actions by adapting business processes, architecture and BI systems.

  • How to take advantage of high-velocity data
  • The organisational capabilities that are needed to successfully implement Big Data projects
  • How to put Big Data into action using decision-management solutions


Module 5 – Cultivating

(6, 7, 8, 9 & 10 April 2015; Silicon Valley, San Francisco)

This module investigates how management can optimally exploit the newly created Big Data benefits by cultivating data-driven decision-making in their organisation.

  • A deep dive into organisational strategies to cultivate Big Data innovations
  • How to optimally communicate Big Data projects
  • How to deal with ethics and privacy in a big data world




Discover our Faculty:



23-25 October; 27-29 November; 11-13 December 2014; 19-21 February; 6-10 April 2015

17 days

Vlerick Campus Brussels , Vlerick Campus Ghent , Vlerick Campus Leuven ,Silicon Valley, San Francisco


11495 euros (excl. 21% VAT)
+ €850 catering costs & €1450 for module in San Francisco

Financial Benefits