big data and the challenge of extreme information

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How Do You “Manage” Your Information Assets When They Are Growing Faster Than You Can Digest Them? BIG Data and Extreme Information

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Page 1: Big data and the challenge of extreme information

How Do You “Manage” Your Information Assets When They Are Growing Faster Than You Can Digest Them?

BIGData andExtremeInformation

Page 2: Big data and the challenge of extreme information

About me…click links for more info

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

Page 4: Big data and the challenge of extreme information

Agenda

• The 3 RM challenges created by Extreme Information

• 3 strategies for dealing with Extreme Information

• What steps should you be taking RIGHT NOW to “future proof” your career?

Page 5: Big data and the challenge of extreme information

3 RM challenges created by Extreme Information

Page 6: Big data and the challenge of extreme information

1 – The Consumerization Challenge.

Click doc to get a copy.

Page 7: Big data and the challenge of extreme information

“For the next generation of knowledge workers, entering the workplace often feels like entering a computer science museum.”

Ray Wang, “Coming to Terms with the Consumerization of IT,” Harvard Business Review Blog

Page 8: Big data and the challenge of extreme information

The old world of centrally-controlled, one size fits all, IT provisioning is dead.

Page 9: Big data and the challenge of extreme information

IT must now think patterns of work rather than connecting devices.

Page 10: Big data and the challenge of extreme information

2 -- The Cloud Challenge.

Page 11: Big data and the challenge of extreme information

Source: Geoffrey Moore, Escape Velocity

SaaS Consumer

Page 12: Big data and the challenge of extreme information

IT is being forced to think less like a “railroad” and more like a “cab company”… Don’t lay track, take users on trips.

Page 13: Big data and the challenge of extreme information

3 -- The Hoarding Challenge.

Page 14: Big data and the challenge of extreme information

Obesity: a medical condition in which excess body fat has accumulated to the extent that it may have an adverse effect on health, leading to reduced life expectancy and/or increased health problems

Content Obesity: An organizational condition in which excess redundant information has accumulated to the extent that it may have an adverse effect on business efficiency, leading to depleted budgets, reduced business agility and/or increased legal and compliance risks.

George Parapadakis, IBM

Page 15: Big data and the challenge of extreme information

Storage is not cheap! By the time you create your high-availability, tier-1 storage with 3 generations of backup tapes and put it in a data center, pay for electricity and air-conditioning, and pay people to manage it, it’s no longer cheap.

Even if storage prices go down by 20% per year, if your data grows at 40%, you are still 20% worse off.

George Parapadakis, IBM

Page 16: Big data and the challenge of extreme information

About 5 percent of information is subject to regulatory obligations, about 25 percent of corporate data is of business value, and only about 2 percent is subject to legal hold (CGOC)…

Page 17: Big data and the challenge of extreme information

of corporate information is junk

Or in other words…

68%

Page 18: Big data and the challenge of extreme information

3 Strategies for Dealing with Extreme Information

Page 19: Big data and the challenge of extreme information

Response #1 – Manage the SoR/SoE collision.

Page 20: Big data and the challenge of extreme information

Predictions/Trends

• CIOs are beginning to adopt mobile-first and cloud-first strategies.

• Social will become: 1) a feature; and 2) embedded in process.

• The left and right humps are very different.• On-premises vs. cloud will increasingly become

less “either/or” and more hybrid.• Synching an increasingly important concept.• A growing role for the CMO.

Page 21: Big data and the challenge of extreme information

Response #2 – If you are a large organization, get serious about disposition.

Page 22: Big data and the challenge of extreme information

Predictions/Trends

• Increasing awareness of the costs of e-discovery.– Median cost for collection = $910 per gigabyte – Processing = $2,931 per gigabyte– Review = $13,636 per gigbyte

• Increasing awareness of the storage cost implications of uncontrolled growth.

• Increasing awareness of the “information sludge” implications.

Page 23: Big data and the challenge of extreme information

Response #3 -- Get to the “yang” of Big Data.

Just released – click on image

for a copy!

Page 24: Big data and the challenge of extreme information

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

Page 25: Big data and the challenge of extreme information

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

Page 26: Big data and the challenge of extreme information

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

Page 27: Big data and the challenge of extreme information

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

Page 28: Big data and the challenge of extreme information

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

Page 29: Big data and the challenge of extreme information

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

Page 30: Big data and the challenge of extreme information

What steps should you be taking RIGHT NOW to “future proof” your career?

Page 31: Big data and the challenge of extreme information

Good news -- the calculus is changing…

• A growing recognition that INFORMATION…– Is an asset and should be treated as such– Has value that can be quantified– Has value that should be accounted for as

an asset– Has value that should be used for

budgeting IT and business initiatives– Has value that should be maximized

Source: Gartner – Introducing Infonomics: Valuing Information as a Corporate Asset – March 21, 2012

Page 32: Big data and the challenge of extreme information

Bad news -- The Future of RM

• …most executives perceive it [RM] as an administrative cost center…the strategic relevancy of the records management function has taken a slight dip… (ARMA/Forrester, 2011)

• 44% of records managers are not included in the IT strategic planning process, including requirements definitions and vendor selection – up from 35% in 2009 (ARMA/Forrester, 2011)

• The inability of our profession to come to grips with the explosion of electronic records will spell the doom of the profession. In many organizations, that omission has made us irrelevant. (Patrick Cunningham, CRM, 2010)

Page 33: Big data and the challenge of extreme information

Bad news -- The Future of IT

• IT is not providing a sustainable competitive advantage, just as having electricity does not provide a sustainable advantage when everyone has it. (Coldstreams.com 2011, reporting on IEEE seminar)

• Gone is the tendency to hire specialists and large teams of limited range permanent staff for long-term initiatives. New models require smaller teams made up of multi-taskers and multi-dimensionally skilled workers with subject matter expertise, business savvy, technology skills, and a range of appropriate interpersonal and “political” skills. (David Foote, 2012)

Page 34: Big data and the challenge of extreme information

Source: AIIM, Career Development for Information Professionals, 2012, N=734

Bad news -- Sub-optimal utilization of human resources…

• To what extent do you feel your voice is heard when it comes to decisions around technology, process and content in your organization?

• Only 36% “influential.”– Only 7% have a “seat at the table.”

• 29% seldom consulted.• 35% consulted on tactics but not on

strategy.

Page 35: Big data and the challenge of extreme information

Info

rmatio

n

Pro

fessio

nals

Risk/Liability Focus

IT Legal professional

Records Manager

Digital Archivist

Value Focus

Business Process Owners

Business Analyst

Knowledge ManagerInformation/Data

Scientist

Governance Focus

Ent Information Manager

Info/Data Stewards

Ent Information Architect

Social Focus Information Curators

Community Managers

Source: Most roles from Deb Logan and Regina Casonata, Gartner

“Deep-dive” specializations

Page 36: Big data and the challenge of extreme information

36

Blind Men and the Elephant, John Godfrey Saxe

Page 38: Big data and the challenge of extreme information

Business Benefits

Which two of the following professional roles do you think are the most important to the future health of your business?

Information professional

Business/technology interface

Project manager

Technology specialist

Technology resources manager

Records manager

Business manager

Business professional

Business advisor, consultant

57%

39%

24%

17%

14%

13%

12%

8%

8%

Source: AIIM, Career Development for Information Professionals, 2012, N=321

Page 40: Big data and the challenge of extreme information

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

About me…click links for more info