Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
BIGDATA IN BELGIUM
Gianni Cooreman
giannicooreman.com
@giannicooreman
6,5Y RESEARCH
1Y STRATEGY
1Y ANALYTICS
TECHNOLOGY
GEEK
WORLD
EXPLORER
RUNNING
JUNKIE
WINE
LOVER
CUISINE
SAVOURER
DEFINITIONS
PEOPLE
VIEW
DATA
VIEW
USE CASES
PRIVACY
VIEW
DEFINITIONS
PEOPLE
VIEW
DATA
VIEW
USE CASES
PRIVACY
VIEW
http://dilbert.com/strips/comic/2012-07-29/
DEFINITIONS
DEFINITIONS BIG DATA: HYPE OR NOT?
“When volume, velocity and
variety of data exceeds an
organization’s storage or
compute capacity for accurate
and timely d...
DEFINITIONS
“I said it before & I’ll say it again:
EVERYTHING IS RELATIVE,
THE SAME GOES FOR BIG DATA”
DEFINITIONS
Value
VOLUME
(amount &
complexity)
VARIETY
(type & sources)
VERACITY
(quality &
trust)
VELOCITY
(speed)
DEFINITIONS
LOW HIGH
LOWHIGH
INFORMATIONANDKNOWLEDGE
VOLUME AND FLOWS OF (BIG) DATA
255 MILLION SITES (2011)
2 BILLION PEOPLE (2011)
1...
DEFINITIONS
GROWTH RATE Y/Y
Database systems 97%
Overall corporate data 94%
Data of average organization 50%
Source: Forrester
DEFINIT...
DEFINITIONS
“Hard Disk vendors tend to
overemphasize the “Volume”
part of the Big Data definition.”
DEFINITIONS
Even more than dealing with
volume, Big Data is about
solving complex problems
faster and more
accurate, resul...
DEFINITIONS
TIME
DATAVOLUMES
Source: IDC
DEFINITIONS
DEFINITIONS
“The faster you analyze your data,
the greater its predictive value.
Companies are moving away from
batch proc...
DEFINITIONS
DEFINITIONS
Don’t just collect data for data’s
sake. Big Data needs to solve a
real business issue and bring
added value f.i. higher c...
DEFINITIONS
PEOPLE
VIEW
DATA
VIEW
USE CASES
PRIVACY
VIEW
The main challenge is changing the
organization so that it more readily
challenges the rationale for
decisions, uses data ...
“In order to gain credibility for
your Big Data project, you need
executive sponsorship. You’ll need
to illustrate the pot...
http://www.bigdatalandscape.com/
IT NEEDS TO FAMILIARIZE WITH THE NEW TECHNOLOGY LANDSCAPEPEOPLE VIEW
“IT will need to provide data scientists
and business users with an analytical
sandbox for data exploration purposes.”
PEO...
“The ability to take data - to be
able to understand it, to process
it, to extract value from it, to
visualize it, to comm...
Hacking Statistics
Domain Expertise
Machine
Learning
Data
Scientist
Drew Conway, The Data Science Venn Diagram
PEOPLE VIEW
Data
Scientist
“Companies need solutions that enable
them to use & customize their data
easily, because it is the whole te...
DEMOCRATIZATION OF ANALYTICS REQUIRED
“Big Data is about enabling business users. We feel it is our
responsibility to make...
Storytelling is not only an asset in consumer
marketing, but in business decisions as well. To derive
the greatest value f...
PEOPLE VIEW SAS® Visual Analytics, Try it out yourself – http://bit.ly/trysasva
DEFINITIONS
PEOPLE
VIEW
DATA
VIEW
USE CASES
PRIVACY
VIEW
DATA VIEW SHIFT NEEDED FROM APPLICATION-DRIVEN TO DATA-DRIVEN
“Many companies will find low-hanging fruit by
tearing down corporate silos.”
DATA VIEW
DATA VIEW
Past
Present
Soon
Future
“A 360° customer view is relative and will keep on
evolving as new technologies arise in the futu...
Let’s take a look beyond corporate silos...
Which other data mashups can deliver value?
DATA VIEW
“Microchips on humans to track their every move… This sounds
really far-fetched, doesn’t it?”
DATA VIEW
DATA VIEW
Our smartphones are microchips
we wear day in, day out.
DATA FROM MOBILE APPSDATA VIEW
DATA VIEW PRODUCT GENERATED MACHINE DATA
http://senseable.mit.edu/copenhagenwheel/
PRODUCT GENERATED MACHINE DATADATA VIEW
http://www.deloitte.com/view/en_GB/uk/market-insights/deloitte-
analytics/open-data/index.htm
“A piece of data or content ...
INCORPORATE 3RD PARTY DATA – OPEN DATA MOVEMENTDATA VIEW
“A new generation of companies
is making data available.”
INCORPORATE 3RD PARTY DATA – NEW DATA RESELLERSDATA VIEW
Social
Data
Web
Data
Consumer
Open Data
“Paid”
Machine Data
Mkt Sales Call Center
Mobile
Data
...
OWNED
Company Silo
Break...
DEFINITIONS
PEOPLE
VIEW
DATA
VIEW
USE CASES
PRIVACY
VIEW
PRIVACY VIEW
THE CREEPINESS FACTORPRIVACY VIEW
BE TRANSPARENTPRIVACY VIEW
PRIVACY VIEW BE TRANSPARENT
CLARIFY THE RETURN ON INFORMATIONPRIVACY VIEW
GIVE CONTROL TO THE USERPRIVACY VIEW
DEFINITIONS
PEOPLE
VIEW
DATA
VIEW
USE CASES
PRIVACY
VIEW
USE CASES REAL-TIME PERSONALIZATION
I’ve been a Telenet Fibernet customer for years...
Such a waste of valuable screen rea...
USE CASES 50% CHURN REDUCTION BY COMBINING CRM, SOCIAL & BILLING DATA
USE CASES LOCATION-BASED PRICING
USE CASES WEBSITE OPTIMIZATION THROUGH WEBLOG ANALYSIS
USE CASES MACHINE DATA BASED PRODUCT IMPROVEMENTS
USE CASES TRANSACTIONAL AND SOCIAL DATA DRIVEN FINANCIAL CREDIBILITY
USE CASES SMART METERING DRIVEN COST REDUCTION
Don’t accumulate data for data’s
sake. Focus on value for your
business projects.
Breaking down corporate silos can
be the...
Start your big smarter data steps today
One small step can result in big value...
QUESTIONS?
GIANNI COOREMAN
Business Consultant
Email: gianni.cooreman@sas.com
Direct: +32 2 766 07 12
Mobile: +32 494 521 776
www.gia...
Big Data in Belgium
Big Data in Belgium
Upcoming SlideShare
Loading in …5
×

Big Data in Belgium

1,052 views

Published on

A presentation on the definition of big data, added value, uses cases and how to deal with privacy.
Presented at BDMA D-Day Conference, 2013.

Published in: Data & Analytics, Technology
  • Be the first to comment

  • Be the first to like this

Big Data in Belgium

  1. 1. BIGDATA IN BELGIUM Gianni Cooreman giannicooreman.com @giannicooreman
  2. 2. 6,5Y RESEARCH 1Y STRATEGY 1Y ANALYTICS TECHNOLOGY GEEK WORLD EXPLORER RUNNING JUNKIE WINE LOVER CUISINE SAVOURER
  3. 3. DEFINITIONS PEOPLE VIEW DATA VIEW USE CASES PRIVACY VIEW
  4. 4. DEFINITIONS PEOPLE VIEW DATA VIEW USE CASES PRIVACY VIEW
  5. 5. http://dilbert.com/strips/comic/2012-07-29/ DEFINITIONS
  6. 6. DEFINITIONS BIG DATA: HYPE OR NOT?
  7. 7. “When volume, velocity and variety of data exceeds an organization’s storage or compute capacity for accurate and timely decision-making” DEFINITIONS
  8. 8. DEFINITIONS “I said it before & I’ll say it again: EVERYTHING IS RELATIVE, THE SAME GOES FOR BIG DATA”
  9. 9. DEFINITIONS
  10. 10. Value VOLUME (amount & complexity) VARIETY (type & sources) VERACITY (quality & trust) VELOCITY (speed) DEFINITIONS
  11. 11. LOW HIGH LOWHIGH INFORMATIONANDKNOWLEDGE VOLUME AND FLOWS OF (BIG) DATA 255 MILLION SITES (2011) 2 BILLION PEOPLE (2011) 1 TRILLION DEVICES (2013) DEFINITIONS
  12. 12. DEFINITIONS
  13. 13. GROWTH RATE Y/Y Database systems 97% Overall corporate data 94% Data of average organization 50% Source: Forrester DEFINITIONS
  14. 14. DEFINITIONS “Hard Disk vendors tend to overemphasize the “Volume” part of the Big Data definition.”
  15. 15. DEFINITIONS Even more than dealing with volume, Big Data is about solving complex problems faster and more accurate, resulting in a higher business value.
  16. 16. DEFINITIONS TIME DATAVOLUMES Source: IDC
  17. 17. DEFINITIONS
  18. 18. DEFINITIONS “The faster you analyze your data, the greater its predictive value. Companies are moving away from batch processing to real-time to gain competitive advantage.”
  19. 19. DEFINITIONS
  20. 20. DEFINITIONS
  21. 21. Don’t just collect data for data’s sake. Big Data needs to solve a real business issue and bring added value f.i. higher customer experience, increased customer value, reduced costs... DEFINITIONS
  22. 22. DEFINITIONS PEOPLE VIEW DATA VIEW USE CASES PRIVACY VIEW
  23. 23. The main challenge is changing the organization so that it more readily challenges the rationale for decisions, uses data to back up the discussion, and generates PEOPLE VIEW
  24. 24. “In order to gain credibility for your Big Data project, you need executive sponsorship. You’ll need to illustrate the potential value and the road to get there. PEOPLE VIEW
  25. 25. http://www.bigdatalandscape.com/ IT NEEDS TO FAMILIARIZE WITH THE NEW TECHNOLOGY LANDSCAPEPEOPLE VIEW
  26. 26. “IT will need to provide data scientists and business users with an analytical sandbox for data exploration purposes.” PEOPLE VIEW
  27. 27. “The ability to take data - to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it is going to be a hugely important skill in the next decades.” Hal Varian - Chief Economist Google PEOPLE VIEW
  28. 28. Hacking Statistics Domain Expertise Machine Learning Data Scientist Drew Conway, The Data Science Venn Diagram PEOPLE VIEW
  29. 29. Data Scientist “Companies need solutions that enable them to use & customize their data easily, because it is the whole team, not just the data scientist, that knows the business best.” PEOPLE VIEW
  30. 30. DEMOCRATIZATION OF ANALYTICS REQUIRED “Big Data is about enabling business users. We feel it is our responsibility to make analytics approachable to a broader user base. We need to provide solutions a business user can understand.” PEOPLE VIEW
  31. 31. Storytelling is not only an asset in consumer marketing, but in business decisions as well. To derive the greatest value from data, you need storytelling through data exploration & visualization. PEOPLE VIEW
  32. 32. PEOPLE VIEW SAS® Visual Analytics, Try it out yourself – http://bit.ly/trysasva
  33. 33. DEFINITIONS PEOPLE VIEW DATA VIEW USE CASES PRIVACY VIEW
  34. 34. DATA VIEW SHIFT NEEDED FROM APPLICATION-DRIVEN TO DATA-DRIVEN
  35. 35. “Many companies will find low-hanging fruit by tearing down corporate silos.” DATA VIEW
  36. 36. DATA VIEW
  37. 37. Past Present Soon Future “A 360° customer view is relative and will keep on evolving as new technologies arise in the future.” DATA VIEW
  38. 38. Let’s take a look beyond corporate silos... Which other data mashups can deliver value? DATA VIEW
  39. 39. “Microchips on humans to track their every move… This sounds really far-fetched, doesn’t it?” DATA VIEW
  40. 40. DATA VIEW Our smartphones are microchips we wear day in, day out.
  41. 41. DATA FROM MOBILE APPSDATA VIEW
  42. 42. DATA VIEW PRODUCT GENERATED MACHINE DATA
  43. 43. http://senseable.mit.edu/copenhagenwheel/ PRODUCT GENERATED MACHINE DATADATA VIEW
  44. 44. http://www.deloitte.com/view/en_GB/uk/market-insights/deloitte- analytics/open-data/index.htm “A piece of data or content is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and/or share-alike.” (Source: opendefinition.org) INCORPORATE 3RD PARTY DATA – OPEN DATA MOVEMENTDATA VIEW
  45. 45. INCORPORATE 3RD PARTY DATA – OPEN DATA MOVEMENTDATA VIEW
  46. 46. “A new generation of companies is making data available.” INCORPORATE 3RD PARTY DATA – NEW DATA RESELLERSDATA VIEW
  47. 47. Social Data Web Data Consumer Open Data “Paid” Machine Data Mkt Sales Call Center Mobile Data ... OWNED Company Silo Breakdown “Owned” Machine Data Social Data Web Data “Earned” Machine Data Mobile Data Suppliers PAID OPEN EARNED DATA VIEW
  48. 48. DEFINITIONS PEOPLE VIEW DATA VIEW USE CASES PRIVACY VIEW
  49. 49. PRIVACY VIEW
  50. 50. THE CREEPINESS FACTORPRIVACY VIEW
  51. 51. BE TRANSPARENTPRIVACY VIEW
  52. 52. PRIVACY VIEW BE TRANSPARENT
  53. 53. CLARIFY THE RETURN ON INFORMATIONPRIVACY VIEW
  54. 54. GIVE CONTROL TO THE USERPRIVACY VIEW
  55. 55. DEFINITIONS PEOPLE VIEW DATA VIEW USE CASES PRIVACY VIEW
  56. 56. USE CASES REAL-TIME PERSONALIZATION I’ve been a Telenet Fibernet customer for years... Such a waste of valuable screen real estate
  57. 57. USE CASES 50% CHURN REDUCTION BY COMBINING CRM, SOCIAL & BILLING DATA
  58. 58. USE CASES LOCATION-BASED PRICING
  59. 59. USE CASES WEBSITE OPTIMIZATION THROUGH WEBLOG ANALYSIS
  60. 60. USE CASES MACHINE DATA BASED PRODUCT IMPROVEMENTS
  61. 61. USE CASES TRANSACTIONAL AND SOCIAL DATA DRIVEN FINANCIAL CREDIBILITY
  62. 62. USE CASES SMART METERING DRIVEN COST REDUCTION
  63. 63. Don’t accumulate data for data’s sake. Focus on value for your business projects. Breaking down corporate silos can be the low-hanging fruit for your Big Data pilot. Big Data needs to be in the mindset of the whole organization. Use solutions that make analytics approachable for a broader business audience. KEY TAKEAWAYS
  64. 64. Start your big smarter data steps today One small step can result in big value...
  65. 65. QUESTIONS?
  66. 66. GIANNI COOREMAN Business Consultant Email: gianni.cooreman@sas.com Direct: +32 2 766 07 12 Mobile: +32 494 521 776 www.giannicooreman.com

×