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Rise of the Datavores
     Juan Mateos-Garcia


      13th March 2013
Context




DATA THE NEW OIL
      THE NEXT FRONTIER

     THE GREAT LEVELLER

The big innovation story of our time
Context




Remarkably data free discussions about adoption, benefits & best
   practices, beyond case studies, rarely looking at the UK.
WE NEED MORE & BETTER DATA (AND ANALYSIS!) ABOUT
                            DATA
Our Research

                                               Data
                        Survey of 500 UK
 Are UK companies        companies > 50
adopting data-driven
  management &
                        employees, active
                             online.          Analysis
    innovation?         We look at Online
                         customer data

                                               Action
    What are the         (More than web
   impacts, good        analytics; not just
    practices and       about the website)
      barriers?

                                              Impact
Our findings

     We have found…
     The Datavores

     Businesses that rely on data
     and analysis over experience
     and intuition when they make
     decisions about how to grow
     their sales

     We have also identified
     businesses that do the
     opposite…let’s call them…
      the dataphobes
These two are the ying and yang of Data


                             Most datavores are
                            comprehensive in their
                               data collection.

                             Dataphobes less so.
Datavores sweat their data




                    Datavores use advanced
                     methods (experiments,
                      statistics, prediction) ,
                        dataphobe mostly
                     retrospective reporting.
…put it to work…




                    Datavores not only use
                   data to fix the website – it
                         pervades the
                   organisation, including in
                      strategy & product
                          development
…and they reap the benefits

    Datavores are 4 times as likely to say
    data generates substantial benefits in
               their business.
      They are also more innovative in
           products & processes
In spite of all of this…The datavores are in the minority!




                              18% Datavores compared to
                                 43% of Dataphobes
What is going on?
The dataphobes in our sample are commercially active online
(generating, on average, 13% of their revenues there).
On average, they employ 419 people (median 154)
They appear to have the incentives and the capacity…

…Yet it looks like they
have decided
to give the online data
revolution a pass

                                           http://www.blackhawknrhs.org/home.htm
WHY?
              Becoming a datavore isn’t free




 The investments need to be made today, the benefits happen in the
future – Better leave it for tomorrow, wait for others to take the lead??

Sources: http://www.squidoo.com/science-coloring-pages http://kalyan-city.blogspot.com/2010/06/organisation-
organizational-structure.html; Believekin (Flickr).
The way forward
          MORE & BETTER DATA (AND
          ANALYSIS!) ABOUT DATA could
          help to:

          • Understand where are the
            bottlenecks (inputs, policy &
            tech) to more effective uses of
            data

          • Also where are the limits.

          • Measure benefits to encourage
            adoption & consider trade-offs.

          • …and identify good practices to
            make adoption smooth
will be addressing some of the issues in
the coming months.

                Thank You
      Juan.mateos-garcia@nesta.org.uk

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Innovate 2013 Datavores presentation

  • 1. Rise of the Datavores Juan Mateos-Garcia 13th March 2013
  • 2. Context DATA THE NEW OIL THE NEXT FRONTIER THE GREAT LEVELLER The big innovation story of our time
  • 3. Context Remarkably data free discussions about adoption, benefits & best practices, beyond case studies, rarely looking at the UK. WE NEED MORE & BETTER DATA (AND ANALYSIS!) ABOUT DATA
  • 4. Our Research Data Survey of 500 UK Are UK companies companies > 50 adopting data-driven management & employees, active online. Analysis innovation? We look at Online customer data Action What are the (More than web impacts, good analytics; not just practices and about the website) barriers? Impact
  • 5. Our findings We have found… The Datavores Businesses that rely on data and analysis over experience and intuition when they make decisions about how to grow their sales We have also identified businesses that do the opposite…let’s call them… the dataphobes
  • 6. These two are the ying and yang of Data Most datavores are comprehensive in their data collection. Dataphobes less so.
  • 7. Datavores sweat their data Datavores use advanced methods (experiments, statistics, prediction) , dataphobe mostly retrospective reporting.
  • 8. …put it to work… Datavores not only use data to fix the website – it pervades the organisation, including in strategy & product development
  • 9. …and they reap the benefits Datavores are 4 times as likely to say data generates substantial benefits in their business. They are also more innovative in products & processes
  • 10. In spite of all of this…The datavores are in the minority! 18% Datavores compared to 43% of Dataphobes
  • 11. What is going on? The dataphobes in our sample are commercially active online (generating, on average, 13% of their revenues there). On average, they employ 419 people (median 154) They appear to have the incentives and the capacity… …Yet it looks like they have decided to give the online data revolution a pass http://www.blackhawknrhs.org/home.htm
  • 12. WHY? Becoming a datavore isn’t free The investments need to be made today, the benefits happen in the future – Better leave it for tomorrow, wait for others to take the lead?? Sources: http://www.squidoo.com/science-coloring-pages http://kalyan-city.blogspot.com/2010/06/organisation- organizational-structure.html; Believekin (Flickr).
  • 13. The way forward MORE & BETTER DATA (AND ANALYSIS!) ABOUT DATA could help to: • Understand where are the bottlenecks (inputs, policy & tech) to more effective uses of data • Also where are the limits. • Measure benefits to encourage adoption & consider trade-offs. • …and identify good practices to make adoption smooth
  • 14. will be addressing some of the issues in the coming months. Thank You Juan.mateos-garcia@nesta.org.uk