big data - too much yin and not enough yang

Post on 12-May-2015

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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

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Too Much Yin and Not Enough Yang

BIG DATA

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

This new report is part of a continuing story…

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

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

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

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

QUESTION:

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

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

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

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

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

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.

What should be the BUSINESS Big Data Agenda?

#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.”

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

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

#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.

About me… (click above)

John Mancini, President, AIIMEditor, Digital LandfillAuthor, OccupyIT: A Technology ManifestoFrequent Technology Keynote speakerTwitter = @jmancini77

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