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

1. BIG DATA
Too Much Yin and Not Enough Yang

2. New report – Free – Click on it to get a copy

3. This new report is part of a continuing story…

4. We started the story with this white paper
(click on it -- free for downloading)

5. Continued with a focus on consumerization…
(click on it -- free for downloading)

6. And now – BIG DATA
(click on it -- free for downloading)

7. To date, the “Big Data” Story has been focused
exclusively on TECHNOLOGY.

8. QUESTION:

9. The Problem – We have too much Big Data Yin
and not enough Big Data Yang…

10. Yin – Big Data is all about technology.
Yang – Big Data is equally about the business.

11. Yin – Big Data means experimenting with data.
Yang – Big Data means constant testing of
hypotheses with data.

12. Yin – Big Data is all about analysis.
Yang – Big Data is equally about action.

13. Yin – Big Data is all about Data Scientists.
Yang – Big Data is just as much about
Information Professionals and Data
Entrepreneurs.

14. The Data Scientist has his ear to the business
and his eyes full on the data – the Data
Entrepreneur has exactly the opposite focus,
eyes full on the business, ear to the data.

15. What should be the BUSINESS Big Data
Agenda?

16. #1 -- Consider the
business problem before
diving into the
technology. Per Michael
Schrage of MIT Sloan
School’s Center for
Digital Intelligence,
“Business needs to move
from being data-driven to
being algorithmically
aware.”

17. #2 -- Understand which people can deliver big
data results for your business. Data-savvy
Information professionals are needed just as
much as data scientists.

18. #3 -- Move from big data experimentation to
experiment-driven big data. Look at the world
though a bigger lens.

19. #4 -- Strike a balance between analysis and
action. The goal is to deliver the right insight at
the right time as well as recognize new
opportunities that pertain to your business
should they arise.

20. NEW!
Interested in learning more? Click above.

21. John Mancini, President, AIIM
Editor, Digital Landfill
Author, OccupyIT: A Technology Manifesto
Frequent Technology Keynote speaker
Twitter = @jmancini77
About me… (click above)