The Brussels Data Science community is supported by the European Data Innovation Hub.
Our mission is to educate, inspire and empower scholars and professionals to apply data sciences to address humanity’s grand challenges.
What we do
mind the gap
We are the fastest growing community of data scientists in Europe.
We love doing Data4Good.
We promote the value of analytics and organise events, hands-on sessions and trainings to close the gap between academics and business.
Join us if you want to share, learn and have fun with analytical & technological innovation & positive social change.
1. Driving a community to help with the
Extracting new value out of data
@pvanimpe PhilippeVan Impe
Brussels Data Science Community
Beltug, 23 June 2015
2. 15.00 How to use open data to grow your business
The open data trend is a fact. Governments and companies do make data public, with the exception
of privacy-related data. In this session, we will hear how 3rd parties can benefit from open data to
create added value. An example will be given on how data from the Kruispuntbank, the National
Bank and Het Belgische Staatsblad can provide companies with useful information that creates
value.
ToonVan Agt, Chairman of the Board, Open Knowledge (Dutch)
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5. Data, Data Everywhere
Smart phones
Smart cars
Smart people
Sensors
RFID
Cameras…everywhere
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6. Move from Structured to Unstructured
Heterogeneous sources of data
Structured (tables, transactions) = schema
Semi-structured (human-readable, XML, JSON)
Unstructured (images, audio, videos) = no relationship
June 11, 2014 6
7. Recent Data Growth
Social media
Facebook
Twitter
Skype
The Internet ofThings
Many sources
Varied formats
Relatively timely
Web content
Many authors
Unstructured
Highly variable trust
and provenance
Gaming
Highly specific
Huge transactional data
Real-time, high
bandwidth usage
June 11, 2014 7
8. Recent Data Growth
Open data
Government and industry
Structured and unstructured
Accessible
Private data
Apps
Health data
Credit card and financial data
The Web
Browsers
Search engines
Web site metrics
June 11, 2014 8
9. Creating Order from the Chaos
Open vs. closed
Multiple formats
Unstructured
Trusted vs. unvalidated
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10. moving towards
Private build software
Standard software
Open source software
Open Data
Big Data
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11. So how did we get there ? Xx -> 2000
One problem - one environment - one solution
80’s build a proprietary - mainframes - cobol – unix
- Reuse code – own data -
90’s choose build vs buy - standard software - 4GL - rdms -
internet - GNU/Linux - windows NT
-Reuse processes - own data -
Y2K & explosion of standard software
Standard application software wins
Forced to accept standard processes
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12. 2000 -> Now
Processes to cover legal obligations are in place
Covered by classical ERP, CRM,WMS ...
New disruptive business ideas
share software – share processes – share data
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13. Today
More data
More processing power
Cheaper processing power
- > technology was crowd sourced thanks to open source
- > data has been crowdsourced thanks to open data
- > knowledge and solutions can also be crowdsource by
joining a community of practice
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14. puts you in touch with like-minded colleagues and peers
allows you to share your experiences and learn from others
allows you to collaborate and achieve common outcomes
accelerates your learning
validates and builds on existing knowledge and good practice
provides the opportunity to innovate and create new ideas
Communities of Practice
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June 2015 | P&G | Brussels Data Science Community | @datasciencebe | datasciencebe.com|
“a group of people who share a concern, set of problems, or a
passion about a topic, and who deepen their knowledge and
expertise in this area by interacting on an ongoing basis.”
(Wenger et al., 2002)
15. What makes a successful CoP?
clear purpose – what will it be used to do?
creating a safe and trusted environment
committed core group of active participants
being motivated
knowing the needs of participants
having a clear action plan with activities to meet needs
blending face-to-face and online activities
This can all be achieved by good, active facilitation
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June 2015 | P&G | Brussels Data Science Community | @datasciencebe | datasciencebe.com|
17. Who we are
Open
Non-commercial
Meetup group
Grasrooted
Focussed on personal development
Multiple Helix
Driven by volunteers
Fuelled by the desire to do Data4Good projects
Social Corporate Responsibility
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18. June 11, 2014 18
Empowering Others to
Use (Open) Data
19. Open Data Matters
Connect citizens to open data to transform their world and
empower them through education
Connect developers to open data to create new ways of
using the data to inform others
Connect businesses to open data to provide new services
and products for everyone to use
Connect data scientists to open data to analyze the past and
predict the future
Encourage governments to release more open data
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20. Organizing and Understanding the Data
Web searching, mining, and crawling
Algorithms
Visualizations
Text mining
Clustering
Semantic analysis
Linked data
Machine learning
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23. Data ScienceTeam
Combines technical and business skills
Looks at complex data problems with subject matter
expertise
Applies technologies to mine, analyze, and visualize the
data
Understands statistics and math, coding and algorithms
Can explain the significance of the data to others
Leader of the data scientists: The Chief Data Officer
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24. Our mission is
to educate, inspire, empower scholars and
professionals
to apply data sciences
to address humanity’s grand challenges.
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Mission Brussels Data Science Community
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• More jobs here
• How to benefit from free job posting
• Review of theTop 5 job post in 2015
We advertise job opportunities
We do job adds
33. Some details about us:
1251 meetup group members
2545 @datasciencebe twitter followers
402 facebook page likes
860 linkedin group members
March: 6,4k visitors & 16,8k views on www.datasciencebe.com
more meetups scheduled before the summer
On average more than 150 registered at each meetup
average meetup registration 250
+ 600 people answered the Data Innovation Survey
OurVideo channels are a great success
https://www.parleys.com/channel/datascience
Datascience Youtube channel
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34. Next activities
18/6 - Meetup: Datascience and Privacy & Security
Coached moocs
Machine learning
Introduction to Bigdata with apache Spark
26/6 - Executive Class –The essence of predictive analytics
3,4,5/7 - Hackathon – Classics vs Big Data methods
9/7 - Garden Party
Proclamation
BBQ
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June 2015 | P&G | Brussels Data Science Community | @datasciencebe | datasciencebe.com|
36. We are a member of the
vzw European Data Innovation Hub asbl
Non profit Legal entity based in Brussels managed by a team of full-time
profesionals
Team of datascientists in residence on site
Supported by a gentlemens’ club of corporations
(AXA, Proximus, Euroclear, ... )
Already hosting multiple communities, NGO’s & startups
Excellent and affordable coworking space
400 m² of shared Hackersspace in Brussels for
Datascientist
Startups
Co-Working
12 fully equiped training rooms
Ideal place for companies to host #datascience hackathons and sandboxes
Social corporate responsibility facilitator
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38. Interested to join us ?
We can host your trainings
We offer affordable co-working space for data professionals
We facilitate the creation of Communities of Practices
Contact info@dihub.eu
Call us: +32 477 23 78 42
Follow us on linkedin: https://www.linkedin.com/company/european-data-
innovation-hub?
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Philippe Van Impe
Driver @ Brussels Data Science Community
pvanimpe@gmail.com
@pvanimpe | 0477/ 23.75.42
“Coming together is a beginning;
keeping together is progress;
staying together is success.”