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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
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
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
Data Explosion Still Waiting To Happen
                                                                                              Exabytes
                                                         1,200.00

                                           ZB            1,000.00
                                                           800.00

 Explosion of photos 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
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
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!
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
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
Trends to Watch in Big Data

The Big Data Vendor consolidation game in 2011
     The acquisition of Greenplum by EMC
     IBMs Hadoop ++ based Infosphere BigInsights
      announcement completes the prior acquisitions of
      Cognos, SPSS and Infosphere Warehouse
     Teradatas 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 DATA
THE ANSWER TO
EVERYTHING?
Big Data, Big Decisions
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
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

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Big Data, Big Decisions

  • 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 photos 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 IBMs Hadoop ++ based Infosphere BigInsights announcement completes the prior acquisitions of Cognos, SPSS and Infosphere Warehouse Teradatas 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