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Driving a community to help with the
Extracting new value out of data
@pvanimpe PhilippeVan Impe
Brussels Data Science Community
Beltug, 23 June 2015
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)

2
June 11, 2014 3
TheTimesThey Are A’Changing
4
People
People  Knowledge  Problems
June 23, 2015
Data, Data Everywhere
 Smart phones
 Smart cars
 Smart people
 Sensors
 RFID
 Cameras…everywhere
5
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
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
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
Creating Order from the Chaos
 Open vs. closed
 Multiple formats
 Unstructured
 Trusted vs. unvalidated
9
moving towards
 Private build software
 Standard software
 Open source software
 Open Data
 Big Data
10
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
11
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
12
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
13
 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
14
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)
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
15
June 2015 | P&G | Brussels Data Science Community | @datasciencebe | datasciencebe.com|
16
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
17
June 11, 2014 18
Empowering Others to
Use (Open) Data
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
19
Organizing and Understanding the Data
 Web searching, mining, and crawling
 Algorithms
 Visualizations
 Text mining
 Clustering
 Semantic analysis
 Linked data
 Machine learning
20
21
What is datascience
22
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
23
Our mission is
to educate, inspire, empower scholars and
professionals
to apply data sciences
to address humanity’s grand challenges.
24
Mission Brussels Data Science Community
Sharing & Learning by doing data4good projects
25
What we do
 One Meetup per month atVUBrussels
 Event/trade show visits
 Coaching MOOCS
 Networking
 Hands-on workshops
 Celebrating success
 Surveys
 Bootcamps
 Data4Good projects
 StudyTours
June 11, 2014 26
We do the Data Innovation Summit
27
Agenda
We do video channels
28
29
We do blogs – Datasciencebe.com
30
June 2015 | P&G | Brussels Data Science Community | @datasciencebe | datasciencebe.com|
31
32
• 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
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
33
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
34
June 2015 | P&G | Brussels Data Science Community | @datasciencebe | datasciencebe.com|
vzw diHub.eu
vzw European Data Innovation Hub asbl
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
36
Follow us on Linkedin
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?
ThankYou
39
40
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.”

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Beltug philippe van impe - opendata

  • 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)  2
  • 4. TheTimesThey Are A’Changing 4 People People  Knowledge  Problems June 23, 2015
  • 5. Data, Data Everywhere  Smart phones  Smart cars  Smart people  Sensors  RFID  Cameras…everywhere 5
  • 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 9
  • 10. moving towards  Private build software  Standard software  Open source software  Open Data  Big Data 10
  • 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 11
  • 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 12
  • 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 13
  • 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 14 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 15 June 2015 | P&G | Brussels Data Science Community | @datasciencebe | datasciencebe.com|
  • 16. 16
  • 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 17
  • 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 19
  • 20. Organizing and Understanding the Data  Web searching, mining, and crawling  Algorithms  Visualizations  Text mining  Clustering  Semantic analysis  Linked data  Machine learning 20
  • 21. 21
  • 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 23
  • 24. Our mission is to educate, inspire, empower scholars and professionals to apply data sciences to address humanity’s grand challenges. 24 Mission Brussels Data Science Community
  • 25. Sharing & Learning by doing data4good projects 25
  • 26. What we do  One Meetup per month atVUBrussels  Event/trade show visits  Coaching MOOCS  Networking  Hands-on workshops  Celebrating success  Surveys  Bootcamps  Data4Good projects  StudyTours June 11, 2014 26
  • 27. We do the Data Innovation Summit 27 Agenda
  • 28. We do video channels 28
  • 29. 29 We do blogs – Datasciencebe.com
  • 30. 30 June 2015 | P&G | Brussels Data Science Community | @datasciencebe | datasciencebe.com|
  • 31. 31
  • 32. 32 • 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 33
  • 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 34 June 2015 | P&G | Brussels Data Science Community | @datasciencebe | datasciencebe.com|
  • 35. vzw diHub.eu vzw European Data Innovation Hub asbl
  • 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 36
  • 37. Follow us on Linkedin
  • 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?
  • 40. 40 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.”