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Moving the Mountain – Making Big Data and Big
Content Work for You
2
AIIM provides public and private training = AIIM.org/training
AIIM provides research & benchmarking = AIIM.org/research
...
Click on image to get
paper
The CIO Context – Extreme Volatility
Two Sides of the Extreme Information Coin
Moving the Mountain – Taking Action
A Confu...
Schumpeterian Volatility – Looking Toward 2020
1977 1984
Fortune 100 = 100 79 still on the list
2005 2012
Fortune 100 = 10...
IT Volatility
Source: Geoffrey Moore, Escape Velocity
Era
Years
Typical
thing
managed
Best known
company
Content
mgmt focus
Mainframe
1960-1975
A batch
trans
IBM
Microfilm
Mini...
Platform Volatility – from Mary Meeker, KPCB
Big Data Volatility – Phase 1 - I like Big Data!
Big Data Volatility – Phase 2 -- Who Cares About Big
Data? – Too Much Hype
And then came this week…
Big Data Volatility – Phase 3 – The Great Awakening --
Per the Press, the End of Life as We Know It!
The CIO Context – Extreme Volatility
Two Sides of the Extreme Information Coin
Moving the Mountain – Taking Action
A Confu...
Who Are We? What is the CIOs Role?
#AIIM13
http://www.flickr.com/photos/mxmstryo/40338162
09
“We’re in the complex systems business.”
“We’re in the technology provisioning
business.”
“We’re in the enforcing policies business.”
“We’re in the security business.”
“We’re in the help desk business.”
One Perspective Expressed to a new CIO
Upon Taking the CIO Job at a Leading PR
Firm:
“CIO” = “Career Is Over.”
Professional Volatility
Survey by HBR, Economist, CEB, Intel, TNS Global
“57% of the executives
expect their IT function t...
The CIO Context – Extreme Volatility
Two Sides of the Extreme Information Coin
Moving the Mountain – Taking Action
A Confu...
Opportunity? Risk/Cost?
Does Big Data Mean…
YES!
Big Data is not just “more data.”
--Thornton May
The Second Half of the Chessboard…
Structured
Information
i.e., “data”
Unstructured
Information
i.e., “content”
Managed in
ECM & ERM
systems
Managed via
trad...
From McKinsey, Big data: The
next frontier for
innovation, competition &
productivity
The Challenge of Extreme Information at Scale
A typical large organization…
• Hundreds to thousands of legal matters and l...
1 From Defensible Disposal: You Can't Keep All Your Data Forever,
Forbes, 7/17/2012
40% growth means that
15 petabytes tod...
This translates into a hoarder problem.
From Compliance, Governance and Oversight Council
5% of information is
subject to regulatory
obligations, 25% of
corporate...
Which means 68% of our information is junk.
“Hoarders” – Corporate Data Edition – Law Technology News
The average cost of a data
breach for a UK organisation
has rise...
The CIO Context – Extreme Volatility
Two Sides of the Extreme Information Coin
Moving the Mountain – Taking Action
A Confu...
#AIIM13
Ultimately, “We are in the business of
information logistics.”
A buyer migration is in motion…
Is/Current Will Be/Future
IT focused on cost reduction. IT focused on value creation.
Seni...
The Yin and Yang of Big Data…
Yin Yang
It’s all about technology. It’s all about the business.
Core=experimenting w/ data....
Note: Links in Presentation are Live
Some free AIIM DIY Guides…
ECM Collaboration & Social Business
Social Business Assess...
How is Big Content Different From Big Data?
How is Big Content Different From Big Data?
How is Big Content Different From Big Data?
How is Big Content Different From Big Data?
How is Big Content Different From Big Data?
How is Big Content Different From Big Data?
How is Big Content Different From Big Data?
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How is Big Content Different From Big Data?

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Moving the Mountain -- Evanta CIO Presentation on Big Data and Big Content -- central premise -- Big Data analysis without a strategy for the Content that usually fulfills the analytics is a waste of time.

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  • The Era of Creative Construction
  • A typical large company…100 to 15,000 matters and legal holds300 to 3,000 record classes1,000 to 15,000 regulations that mandate specific record keeping1,000 to 50,000 file shares, SharePoint sites, ECM systems and applications2,000 to 40,000 departments of people working on specific business functions10,000 to 1 million employees3 to 130 countries in which they operate
  • “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.“
  • Transcript of "How is Big Content Different From Big Data?"

    1. 1. Moving the Mountain – Making Big Data and Big Content Work for You
    2. 2. 2 AIIM provides public and private training = AIIM.org/training AIIM provides research & benchmarking = AIIM.org/research AIIM provides on-line and in-person events = AIIM.org/events DigitalLandfill.org and @jmancini77 johnmancini@aiim.org
    3. 3. Click on image to get paper
    4. 4. The CIO Context – Extreme Volatility Two Sides of the Extreme Information Coin Moving the Mountain – Taking Action A Confusion of Roles
    5. 5. Schumpeterian Volatility – Looking Toward 2020 1977 1984 Fortune 100 = 100 79 still on the list 2005 2012 Fortune 100 = 100 25 still on the list 2010 BRIC GDP = $8.6 B 2020 BRIC GDP = $20.2 B 2010 G7 GDP = $30.4 B 2020 G7 GDP = $36.7 B
    6. 6. IT Volatility Source: Geoffrey Moore, Escape Velocity
    7. 7. Era Years Typical thing managed Best known company Content mgmt focus Mainframe 1960-1975 A batch trans IBM Microfilm Mini 1975-1992 A dept process Digital Equipment Image Mgmt PC 1992-2001 A document Microsoft Document Mgmt Internet 2001-2009 A web page Google Content Mgmt Social and Cloud 2010-2015 interactions Facebook Social Business Systems Systems of Record Systems of Engagement
    8. 8. Platform Volatility – from Mary Meeker, KPCB
    9. 9. Big Data Volatility – Phase 1 - I like Big Data!
    10. 10. Big Data Volatility – Phase 2 -- Who Cares About Big Data? – Too Much Hype
    11. 11. And then came this week…
    12. 12. Big Data Volatility – Phase 3 – The Great Awakening -- Per the Press, the End of Life as We Know It!
    13. 13. The CIO Context – Extreme Volatility Two Sides of the Extreme Information Coin Moving the Mountain – Taking Action A Confusion of Roles
    14. 14. Who Are We? What is the CIOs Role?
    15. 15. #AIIM13 http://www.flickr.com/photos/mxmstryo/40338162 09 “We’re in the complex systems business.”
    16. 16. “We’re in the technology provisioning business.”
    17. 17. “We’re in the enforcing policies business.”
    18. 18. “We’re in the security business.”
    19. 19. “We’re in the help desk business.”
    20. 20. One Perspective Expressed to a new CIO Upon Taking the CIO Job at a Leading PR Firm: “CIO” = “Career Is Over.”
    21. 21. Professional Volatility Survey by HBR, Economist, CEB, Intel, TNS Global “57% of the executives expect their IT function to change significantly over the next three years, and 12% predict a complete overhaul of IT.” “Almost half of CEOs rate their CIOs negatively in terms of understanding the business and understanding how to apply IT in new ways to the business.” “Only a quarter of executives feel their CIO is performing above his or her peers.” “Almost half of CEOs feel IT should be a commodity service purchased as needed.” Source: “The IT Conversation We Should Be Having,” HBR Blogs
    22. 22. The CIO Context – Extreme Volatility Two Sides of the Extreme Information Coin Moving the Mountain – Taking Action A Confusion of Roles
    23. 23. Opportunity? Risk/Cost? Does Big Data Mean… YES!
    24. 24. Big Data is not just “more data.” --Thornton May
    25. 25. The Second Half of the Chessboard…
    26. 26. Structured Information i.e., “data” Unstructured Information i.e., “content” Managed in ECM & ERM systems Managed via traditional BI and Data Warehousing Currently unmanaged Value of Information per Unit to Organization BIG DATA Original concept – Freeform Dynamics 2 3 Social, images, audio, video, text , office apps, web traffic, print streams, email, documents BIG CONTENT Volume, Velocity, Variety, Complexity 2.5 quintillion bytes/day Systems of Record Systems of Engagement 1 Internet of things – e.g., climate data, transaction records, phone GPS data – intelligent, interconnected, and everywhere 4 LOW Value/ByteHIGH Value/Byte
    27. 27. From McKinsey, Big data: The next frontier for innovation, competition & productivity
    28. 28. The Challenge of Extreme Information at Scale A typical large organization… • Hundreds to thousands of legal matters and legal holds • Hundreds to thousands of record classes • 5,000+ regulations that mandate specific record keeping • 10,000+ file shares and SharePoint sites, multiple ECM systems and hundreds of core applications • 2,000+ departments of people working on specific business functions • 10,000+ employees • Multiple countries in which they operate From Defensible Disposal: You Can't Keep All Your Data Forever, Forbes, 7/17/2012
    29. 29. 1 From Defensible Disposal: You Can't Keep All Your Data Forever, Forbes, 7/17/2012 40% growth means that 15 petabytes today will become 39 petabytes in 3 years.1 To determine what really needs to be kept, IT typically has to make a billion choices.1 2 From AIIM Information Governance Study In 42% of organizations, the volume of paper records is still increasing. 2 31% of organizations don’t do any information governance training and 18% only train their RM staff.2
    30. 30. This translates into a hoarder problem.
    31. 31. From Compliance, Governance and Oversight Council 5% of information is subject to regulatory obligations, 25% of corporate data is of business value, and about 2% is subject to legal holds.
    32. 32. Which means 68% of our information is junk.
    33. 33. “Hoarders” – Corporate Data Edition – Law Technology News The average cost of a data breach for a UK organisation has risen to over £2m. 29% admit that they will just go on buying more discs rather than try to figure out what to keep and what to get rid of. The e-discovery related cost of unwanted information is $2.5 million per petabyte. And that’s the review cost, not the storage cost. From AIIM Information Governance Study 2013 Cost of Data Breach Study, Ponemon Institute
    34. 34. The CIO Context – Extreme Volatility Two Sides of the Extreme Information Coin Moving the Mountain – Taking Action A Confusion of Roles
    35. 35. #AIIM13 Ultimately, “We are in the business of information logistics.”
    36. 36. A buyer migration is in motion… Is/Current Will Be/Future IT focused on cost reduction. IT focused on value creation. Senior Execs tech oblivious. Senior Execs tech aware. Complexity guarantees security. Simplicity guarantees security. Mobile & social differentiators. Mobile & social are features. Systems bought with CAPEX. Systems bought with OPEX. Pure tech skills = value. Tech skills in context = value.
    37. 37. The Yin and Yang of Big Data… Yin Yang It’s all about technology. It’s all about the business. Core=experimenting w/ data. Core=testing hypotheses w/ data. It’s all about analysis. It’s all about action. All about Data Scientists. All about Data Entrepreneurs. Ears and Eyes. Eyes and Ears.
    38. 38. Note: Links in Presentation are Live Some free AIIM DIY Guides… ECM Collaboration & Social Business Social Business Assessment Records Management Best Practices Automating Content-Intensive Processes Automating ERM with SharePoint Effectively Organizing Content Scanning/Capture Requirements
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