big data, big decisions
DESCRIPTION
Presentation held at the Dutch Datacenter Hosting Summit 2012 and discusses issues regarding Big Data in the EnterpriseTRANSCRIPT
Big Data, Big Decisions
Marcel WarmerdamPrincipal Analyst at The METISfiles
Dutch Datacenter & Hosting Summit 2012
www.themetisfiles.com 2012
“It is a very sad thing that nowadays there is so little useless information,” Oscar Wilde, 1894.
Dedicated to solving strategic issues for executives in the Internet, IT and telecommunications industry
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 watch6. Things about data you should
realize7. Recommendations + Conclusions
Source: The METISfiles 2012
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
Data Explosion Was Waiting To Happen
Data Explosion Still Waiting To Happen
20002003
20062009
20122015
20182021
20242027
20300.00
200.00
400.00
600.00
800.00
1,000.00
1,200.00
Exabytes
• Explosion of photo’s and realtime footage
• YouTube adding 24h of footage every 2 minutes:
• A project in the Large Hadron Collider will generate one petabyte per second.
• Things on the Internet will add another magnitude to the data explosion
• Sensor data will flood the Internet• Any data we can capture will be
captured
ZB
EBPB
20002003
20062009
20122015
20182021
20242027
20300.00
0.01
0.10
1.00
10.00
100.00
1,000.00
10,000.00
Exabytes
ZB
EB
PB
.Annual content creation grows at 40 to 50% p.y. Doubles every 2 year
Big Data ComplexityVolume
Velocity
Variety
Variability Veracity
Vicosity
Virality
Value
What makes Data Big?
• Volume: relative size of data sources• Velocity: speed at which data refresh is
handled• Variety: handling various data formats
But there is more:• Variability: number of data sources to
be handled or variance within a dataset• Veracity: doubtfullness of data• Viscosity: resistance to flow in the
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
• 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!
THE PROMISE: Delivering The Value of Big Data
Real Time Adaptive Processes
Real Time Adaptive
Enterprise
Process Optimization
Business Discovery
Real Time Data
Data Discovery
Operations Business
WHERE DOES BIG DATA FIT?
Fitting Big Data into your company
• Cost Control• Revenue Building• New Business Models/Innovation
Value Chain Prioritizes Big Data Objectives
Source: The METISfiles 2012
Big Dilemma: Now, Later or Never?
Now is the time to rethink your information needs and how to achieve those
Big Data can be implemented later: it will no go away. Now is the time to think about it
Never is not an option
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
IS MORE DATATHE ANSWER TO EVERYTHING?
The Future Is Not SetNeither Can You Predict It!
ABOUT BIG DATA
Business: Data driven is NOT Fact
Driven TOC and ROI: Is there a
business case? Beware of the FUD
factor Think Big, Start Small
IT: Build, buy or rent? Lots of challenges, lots
of opportunity Be the tour guide, not
the operator! Think Big, Start Small
Big Data – Big DecisionsA 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 [email protected]
Thank You