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1
Data mining goes mainstream
- The truth is out there
Mike Davis
Principal Analyst
UKKDD March 2013
© All images acknowledged
© msmd advisors Ltd 2013
responsive, credible, flexible
2
© msmd advisors Ltd 2013
(c)20thCenturyFox
3
© msmd advisors Ltd 2012
Running order
Why all the fuss about big data?
So who uses big data? (and why)
How has it helped business to date?
How do you convey the importance?
What is a data scientist?
Will data science ever be
'sexy'?
4
5 Terabytes of electronic data under
management
© msmd advisors Ltd 2012
5
Big data and the challenge of decision
making
Size
Scope
Speed
© msmd advisors Ltd 2012
6
Decision making requires effective
information
…That’s delivered:
At the right place
– and in context
At the right time
– and complete / credible / trusted
To the right person(s)
– who have authority to
make decisions
© msmd advisors Ltd 2012
7
There's simply too much data to deal
with
The petabyte is the new data norm
Tsunami of human and machine generated data
Multiple formats
Democratisation of data
800 Tweets per second (12 gigabytes)
Facebook generates 100 TB of data…per day
Organisations are struggling to store, access and
process data efficiently
Structured and unstructured information is
processed in separate systems
Some formats are difficult to process
© msmd advisors Ltd 2013
8
So where's the value in big data?
© msmd advisors Ltd 2013
9
Big data in marketing -
Social network analysis
World’s biggest marketing focus
group
Who’s talking about you? What are they
saying? Why?
Who are the opinion leaders?
Highly contextual text analytics
Classic many-to-many relationship problem
Map & measure relationships & flows
between people, groups, computers,
URLs, etc.
Facebook adds 10 – 15 TB/day to DW
© msmd advisors Ltd 2012
10
The need for precision
© msmd advisors Ltd 2012
11
Understanding data
© msmd advisors Ltd 2013
12
Understanding data
© msmd advisors Ltd 2013
13
Understanding data
© msmd advisors Ltd 2013
14
Understanding data
© msmd advisors Ltd 2013
15
The emergence of in memory
databases
© msmd advisors Ltd 2013
16
Who or what is a data scientist?
© msmd advisors Ltd 2013
17
Thank you
miked@msmd-advisors.com
www.msmd-advisors.com
@mikemasseydavis
responsive, credible, flexible
© msmd advisors Ltd 2013

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The truth is out there

  • 1. 1 Data mining goes mainstream - The truth is out there Mike Davis Principal Analyst UKKDD March 2013 © All images acknowledged © msmd advisors Ltd 2013 responsive, credible, flexible
  • 2. 2 © msmd advisors Ltd 2013 (c)20thCenturyFox
  • 3. 3 © msmd advisors Ltd 2012 Running order Why all the fuss about big data? So who uses big data? (and why) How has it helped business to date? How do you convey the importance? What is a data scientist? Will data science ever be 'sexy'?
  • 4. 4 5 Terabytes of electronic data under management © msmd advisors Ltd 2012
  • 5. 5 Big data and the challenge of decision making Size Scope Speed © msmd advisors Ltd 2012
  • 6. 6 Decision making requires effective information …That’s delivered: At the right place – and in context At the right time – and complete / credible / trusted To the right person(s) – who have authority to make decisions © msmd advisors Ltd 2012
  • 7. 7 There's simply too much data to deal with The petabyte is the new data norm Tsunami of human and machine generated data Multiple formats Democratisation of data 800 Tweets per second (12 gigabytes) Facebook generates 100 TB of data…per day Organisations are struggling to store, access and process data efficiently Structured and unstructured information is processed in separate systems Some formats are difficult to process © msmd advisors Ltd 2013
  • 8. 8 So where's the value in big data? © msmd advisors Ltd 2013
  • 9. 9 Big data in marketing - Social network analysis World’s biggest marketing focus group Who’s talking about you? What are they saying? Why? Who are the opinion leaders? Highly contextual text analytics Classic many-to-many relationship problem Map & measure relationships & flows between people, groups, computers, URLs, etc. Facebook adds 10 – 15 TB/day to DW © msmd advisors Ltd 2012
  • 10. 10 The need for precision © msmd advisors Ltd 2012
  • 11. 11 Understanding data © msmd advisors Ltd 2013
  • 12. 12 Understanding data © msmd advisors Ltd 2013
  • 13. 13 Understanding data © msmd advisors Ltd 2013
  • 14. 14 Understanding data © msmd advisors Ltd 2013
  • 15. 15 The emergence of in memory databases © msmd advisors Ltd 2013
  • 16. 16 Who or what is a data scientist? © msmd advisors Ltd 2013

Notes de l'éditeur

  1. .
  2. Going mobile requires more than reformatting a few pages and putting ‘m.’ in front of a URL. The mobile killer apps in 2015 will be different from today, both based on the rapid pace of technology as well as the increased adoption and familiarity with using fingers and small screens. However despite of the wide spread adoption of 4G/LTE, there will still be significant areas working on GSM (or even GPRS) in 2015. Inside the enterprise, current intranet security policies still start from the assumption that the user is at a desk, with mains power, and a 100MPS ethernet connection. Thus an organisation has two classes of user: ‘on-premise’, and ‘mobile’, with all the polices, procedures and overheads that this separation requires. By 2015 this needs to be ‘turned on its head’ with a single policy – ‘everyone is mobile’. With the mainstream adoption of bring your own device (BYOD), the organisation will not be able to prescribe the device.