#1NWebinar: Cracking Big Content

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We are currently producing far more data than people can consume – more than we can even process using today’s technology. When there are 750 tweets sent every second, more than 1 million special interest groups on LinkedIn and thousands of publications created by a single firm every year, how do you ensure the right content is getting to the right people? Join Kalev Peekna as he explores ways you can avoid creating the experience of information overload for your audiences. He shares how you can Crack Big Content by organizing, engaging, adapting and analyzing your communications, preventing them from looking, feeling and acting like work. He also provides examples of tools organizations have used to successfully guide overwhelmed readers. To view the webinar recording, visit http://bit.ly/13aWTZ3.

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21 February 2013

Cracking Big Content

Webinar

The Challenge

Big Data

Our information ecosystem (a.k.a. the internet) is producing

more data than we can possibly process using current

technology.

60 Hours of

video

uploaded

every minute

750 Tweets

per second

1,000,000+

special interest

groups

The Marketing View

Marketing and BD have their own version of Big Data: Big

Content

40 4,000

40,000

0

10000

20000

30000

40000

2001 2012 2022

Publications

The Audience View

The real danger for the

user experience is

Information Overload

What you offer

What interests

me

The Result?

Unbounded

accumulation of content

offerings degrades the

experience.

Your communications

begin to look, feel, and

act like work.

First Things First:

So whose fault is

this invidious

problem?

These guys.

Blame

Cracking the Problem

• Content isn’t really the problem

• The key to avoiding the experience of information

overload is to crack big content by:

– Organizing

– Engaging

– Adapting

– Analyzing

Response:

Three-steps to

Cracking Big Content

Step One

Keep Calm

Was there life before the Internet?

Information overload was not

created by the Internet.

Pre-Internet Overload

Since we’ve been able to record information,

people have complained that there’s too much:

• “Of making books there is no end.” - Ecclesiastes 12:12

• “The abundance of books is distraction” - Seneca

• “Life is short, art is long” - Hippocrates

• “Such is the flood [of books] that even things that might

have done some good lose all their goodness” -

Erasmus

Pre-Internet Solutions

Over thousands of years, we’ve created a range of tools to

guide overwhelmed readers:

• Categorization

• Indices

• Alphabetization

• Summation & Compilation

Too Much to Know: Managing Scholarly Information before the Modern Age,

Ann M. Blair, 2010

Categories

Compilation

Indices

Alphabetization

Step Two

Carry On

New Tools

Interactive media allow people to take control of

how they access information:

• Search

• Social

• Filters

• Tagging / Taxonomy

• Personalization

• Visualization

Search

Search is probably

the most powerful,

most useful tool we

can offer our

audiences.

It’s why Google is a

verb, and Yahoo is a

cautionary tale.

It’s also imperfect.

Social

It’s widely observed that social networks

are becoming the primary information

source for many users.

Social brings together two powerful

functions that help people find the right

information: influence and curation.

Social

Filters

Tagging

Personalization

Visualization

Visualization

How do we bring

all that together?

One North’s Research Exercise

In the “Trust & Worthy” site,

we imagined how all these

techniques can be combined

in a simple, unified,

interactive experience.

http://examples.onenorthinteractive.com/trustworthy

Step Three

Now Panic and Freak Out

Why Panic?

In between good content and a great interactive

experience lies a lot of analysis.

And currently, almost all that analysis must be done by

people. That means you.

?

Content “Entry” is a Lie

Content Entry Structure

First Last

Contributors

Source

Attachments

Body

Tag Relate Score

Computers Can’t Read

The problem is that current

systems can’t read – not even

Google knows what all that

web content means.

The Problem is Also the Solution

Some of the biggest names in Information

research are looking for ways to take raw content

and turn it into structured data - to give content

meaning.

They call this effort Big Data.

How Big Data Will Help

By 2022, these analysis engines will be available as on-

demand services that all kinds of other systems can use.

Web CMS

Content Data

How Big Data Will Help

By 2012, you will spend a lot

less time teaching your CMS

what your communications

mean.

You will be able to get back to

actual marketing and

business development.

WHAT DO YOU MEAN, IT

DOESN’T “POP”?

C’M’HERE.

I’LL SHOW YOU “POP”

Cracking Big Content: The

Recap

Step One: Keep Calm

Don’t blame the content. Content is good.

Step Two: Carry On

Explore new, interactive capabilities to connect

users to information.

Step Three: Don’t Panic

Help is on the way. Embrace the Cloud.

Q&A

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