Big data - too much yin and not enough yang

6,383 views

Published on

New AIIM report available HERE -- http://www.aiim.org/Research-and-Publications/Research/AIIM-White-Papers/ELC-bigdata

There is a frenzy around big data today. But beneath the froth and the hype is this underlying and undeniable fact: big data will change the world. Companies – you – need to start looking beyond the hype and the technology to learn how you unlock your big data and put it to work for you.

Key findings in this new report include:

1 -- considering the BUSINESS side of the big data equation
2 -- teaming data scientists with information professionals
3 -- embracing a new way of working
4 -- striking the right balance between analysis and action for businesses

Published in: Business
2 Comments
1 Like
Statistics
Notes
No Downloads
Views
Total views
6,383
On SlideShare
0
From Embeds
0
Number of Embeds
4,301
Actions
Shares
0
Downloads
37
Comments
2
Likes
1
Embeds 0
No embeds

No notes for slide

Big data - too much yin and not enough yang

  1. 1. BIG DATAToo Much Yin and Not Enough Yang
  2. 2. New report – Free – Click on it to get a copy
  3. 3. This new report is part of a continuing story…
  4. 4. We started the story with this white paper(click on it -- free for downloading)
  5. 5. Continued with a focus on consumerization…(click on it -- free for downloading)
  6. 6. And now – BIG DATA(click on it -- free for downloading)
  7. 7. To date, the “Big Data” Story has been focusedexclusively on TECHNOLOGY.
  8. 8. QUESTION:
  9. 9. The Problem – We have too much Big Data Yinand not enough Big Data Yang…
  10. 10. Yin – Big Data is all about technology.Yang – Big Data is equally about the business.
  11. 11. Yin – Big Data means experimenting with data.Yang – Big Data means constant testing ofhypotheses with data.
  12. 12. Yin – Big Data is all about analysis.Yang – Big Data is equally about action.
  13. 13. Yin – Big Data is all about Data Scientists.Yang – Big Data is just as much aboutInformation Professionals and DataEntrepreneurs.
  14. 14. The Data Scientist has his ear to the businessand his eyes full on the data – the DataEntrepreneur has exactly the opposite focus,eyes full on the business, ear to the data.
  15. 15. What should be the BUSINESS Big DataAgenda?
  16. 16. #1 -- Consider thebusiness problem beforediving into thetechnology. Per MichaelSchrage of MIT SloanSchool’s Center forDigital Intelligence,“Business needs to movefrom being data-driven tobeing algorithmicallyaware.”
  17. 17. #2 -- Understand which people can deliver bigdata results for your business. Data-savvyInformation professionals are needed just asmuch as data scientists.
  18. 18. #3 -- Move from big data experimentation toexperiment-driven big data. Look at the worldthough a bigger lens.
  19. 19. #4 -- Strike a balance between analysis andaction. The goal is to deliver the right insight atthe right time as well as recognize newopportunities that pertain to your businessshould they arise.
  20. 20. NEW!Interested in learning more? Click above.
  21. 21. John Mancini, President, AIIM Editor, Digital Landfill Author, OccupyIT: A Technology Manifesto Frequent Technology Keynote speaker Twitter = @jmancini77About me… (click above)

×