how is big content different from big data?

Post on 15-May-2015

6.809 Views

Category:

Business

1 Downloads

Preview:

Click to see full reader

DESCRIPTION

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.

TRANSCRIPT

Moving the Mountain – Making Big Data and Big Content Work for You

2

AIIM provides public and private training = AIIM.org/trainingAIIM provides research & benchmarking = AIIM.org/researchAIIM provides on-line and in-person events = AIIM.org/events

DigitalLandfill.org and @jmancini77johnmancini@aiim.org

The CIO Context – Extreme Volatility

Two Sides of the Extreme Information Coin

Moving the Mountain – Taking Action

A Confusion of Roles

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

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

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

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 Confusion of Roles

Who Are We? What is the CIOs Role?

#AIIM13

http://www.flickr.com/photos/mxmstryo/4033816209

“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 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

The CIO Context – Extreme Volatility

Two Sides of the Extreme Information Coin

Moving the Mountain – Taking Action

A Confusion of Roles

Opportunity? Risk/Cost?

Does Big Data Mean…

YES!

Big Data is not just “more data.”

--Thornton May

The Second Half of the Chessboard…

StructuredInformationi.e., “data”

UnstructuredInformationi.e., “content”

Managed in ECM &

ERM systems

Managed via

traditional BI and Data Warehousin

g

Currently unmanage

d

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

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 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

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

This translates into a hoarder problem.

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.

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 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

The CIO Context – Extreme Volatility

Two Sides of the Extreme Information Coin

Moving the Mountain – Taking Action

A Confusion of Roles

#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.

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.

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.

Note: Links in Presentation are Live

Some free AIIM DIY Guides…

ECM Collaboration & Social BusinessSocial Business AssessmentRecords Management Best PracticesAutomating Content-Intensive ProcessesAutomating ERM with SharePointEffectively Organizing ContentScanning/Capture Requirements

top related