Presentation held at the Dutch Datacenter Hosting Summit 2012 and discusses issues regarding Big Data in the Enterprise

1. Dedicated to solving strategic issues for executives
in the Internet, IT and telecommunications industry
Big Data, Big Decisions
Marcel Warmerdam
Principal Analyst at The METISfiles
Dutch Datacenter & Hosting Summit 2012
marcel@themetisfiles.com
“It is a very sad thing that nowadays there is so
little useless information,” Oscar Wilde, 1894.
www.themetisfiles.com 2012

2. CIO Travel Guide Got An
Extra Destination In 2012
Agenda:
1. Where did Big Data come from?
2. The promise of Big Data
3. Where does it fit
4. Now, later or never?
5. Big Data trends to watch
6. Things about data you should
realize
7. Recommendations + Conclusions
Source: The METISfiles 2012

3. Data Explosion Was Waiting To Happen
Computers have been around for
over 60 years generating and
processing data.
• Growing Numbers of Digital
Enabled Devices
• Growing Number of App(lication)s
• Growing Content Creation
• Access Anywhere, Anytime,
Anyhow
Consumerization of IT is the flyweel
of the data explosion

4. Data Explosion Still Waiting To Happen
Exabytes
1,200.00
ZB 1,000.00
800.00
• Explosion of photo’s and realtime 600.00
footage 400.00
• YouTube adding 24h of footage every 200.00
2 minutes: EB 0.00
PB
2021
2000
2003
2006
2009
2012
2015
2018
2024
2027
2030
• A project in the Large Hadron Collider
will generate one petabyte per
second. Exabytes
• Things on the Internet will add
another magnitude to the data ZB 1,000.00
explosion 100.00
• Sensor data will flood the Internet 10.00
• Any data we can capture will be EB 1.00
2012
2000
2003
2006
2009
2015
2018
2021
2024
2027
2030
captured 0.10
0.01
0.00
PB
Annual content creation grows at 40 to 50% p.y.
. Doubles every 2 year

5. What makes Data Big?
• Volume: relative size of data sources
• Velocity: speed at which data refresh is Variability Veracity
handled
Variety Vicosity
• Variety: handling various data formats
But there is more: Velocity Virality
• Variability: number of data sources to
be handled or variance within a dataset
• Veracity: doubtfullness of data
Big Data
Volume Value
• Viscosity: resistance to flow in the Complexity
volume of data
• Virality: speeds at which data disperses
from people to people
And there is
• Value: is why we are doing this
Big Data is NOT a Panacea
Source: The METISfiles 2012

6. THE PROMISE: Delivering The Value of Big Data
• Enhance customer satisfaction
• Improve target marketing
• Increase conversion rates
• Improve customer loyalty
• Improve brand value
• Understand customer behavior
• Facilitate innovation
• Increase competiveness
• Improve efficiency
• Grow profits!

7. WHERE DOES BIG DATA FIT?
Fitting Big Data into your company
Real Time Data
• Cost Control
• Revenue Building Real Time Real Time
• New Business Models/Innovation Adaptive Adaptive
Processes Enterprise
Operations Business
Process Business
Optimization Discovery
Value Chain Prioritizes Big Data Objectives
Data Discovery
Source: The METISfiles 2012

8. Big Dilemma: Now, Later or Never?
Now is the time to rethink your Big Data can be implemented Never is not an option
information needs and how to later: it will no go away. Now is
achieve those the time to think about it

9. Trends to Watch in Big Data
•The Big Data Vendor consolidation game in 2011
•The acquisition of Greenplum by EMC
•IBM’s Hadoop ++ based Infosphere BigInsights
announcement completes the prior acquisitions of
Cognos, SPSS and Infosphere Warehouse
•Teradata’s acquisition of Aster Data
•SAP announced HANA (High Performance Analytical
Appliance) roadmap
•Hewlett-Packard acquisition of Autonomy, Vertica
Systems, Mulesoft and Soasta
•Dell and Cloudera announced a n Hadoop Apache
solution
•Oracle released its Big Data Appliance and exalogic
• Maturing of Cloud Offerings in Big Data: watch for
Big Data as a Service
• Watch for Data Brokers and Data Collectors
joining the Big Data Ecosystem

10. IS MORE DATA
THE ANSWER TO
EVERYTHING?

12. ABOUT BIG DATA
Business: IT:
 Data driven is NOT Fact  Build, buy or rent?
Driven  Lots of challenges, lots
 TOC and ROI: Is there a of opportunity
business case?  Be the tour guide, not
 Beware of the FUD the operator!
factor  Think Big, Start Small
 Think Big, Start Small

13. Big Data – Big Decisions
A study on Big Data and Big Analytics
in The Netherlands, 2013
•User Perspectives on BD
•Business
•IT
•User Deployment Plans
•Build or Buy or Rent
•Big Data Objectives
•Preferred Suppliers
•Big Data Budgets
For more information mail me
at marcel@themetisfiles.com
Thank You