opening keynote gianni cooreman
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BIG DATA 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 decision-making”
DEFINITIONS
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
LOW
H
IGH
INFO
RM
ATI
ON
AN
D K
NO
WLE
DG
E
VOLUME AND FLOWS OF (BIG) DATA
255 MILLION SITES (2011)
2 BILLION PEOPLE (2011)
1 TRILLION DEVICES (2013)
DEFINITIONS
DEFINITIONS
GROWTH RATE Y/Y
Database systems 97%
Overall corporate data 94%
Data of average organization 50%
Source: Forrester
DEFINITIONS
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,
resulting in a higher business value.
DEFINITIONS
TIME
DA
TA V
OLU
MES
Source: IDC
DEFINITIONS
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.”
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 customer experience, increased customer
value, reduced costs...
DEFINITIONS
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 to back up the discussion, and generates explanations.
PEOPLE VIEW
“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
http://www.bigdatalandscape.com/
IT NEEDS TO FAMILIARIZE WITH THE NEW TECHNOLOGY LANDSCAPE PEOPLE VIEW
“IT will need to provide data scientists and business users with an analytical
sandbox for data exploration purposes.”
PEOPLE VIEW
“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
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 team, not just the
data scientist, that knows the business best.”
PEOPLE VIEW
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
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
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 future.”
DATA VIEW
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 APPS DATA VIEW
DATA VIEW PRODUCT GENERATED MACHINE DATA
http://senseable.mit.edu/copenhagenwheel/
PRODUCT GENERATED MACHINE DATA DATA VIEW
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 MOVEMENT DATA VIEW
INCORPORATE 3RD PARTY DATA – OPEN DATA MOVEMENT DATA VIEW
“A new generation of companies is making data available.”
INCORPORATE 3RD PARTY DATA – NEW DATA RESELLERS DATA VIEW
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
DEFINITIONS PEOPLE VIEW
DATA VIEW
USE CASES PRIVACY
VIEW
PRIVACY VIEW
THE CREEPINESS FACTOR PRIVACY VIEW
BE TRANSPARENT PRIVACY VIEW
PRIVACY VIEW BE TRANSPARENT
CLARIFY THE RETURN ON INFORMATION PRIVACY VIEW
GIVE CONTROL TO THE USER PRIVACY 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 real estate
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 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
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.giannicooreman.com
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