Suzanne Acar

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March 2012

Presented by: Suzanne Acar, Senior Information Strategist


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Agenda

?Digital Age Characteristics

?Persistent Challenges with Data

?

Strategy Ideas for Information Quality?Summary


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c

Acceleration

Digital Age Characteristics

?Rapid speed to revolutionarybreakthroughs

in technology


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Complexity

?Complex Systems behave incomplex ways



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?Our problems and opportunities are

linked

Interconnections



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Immediacy?Changes occur at high

speed and are often times:

?

irregular,?disorderly, and

?unpredictable



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Unpredictability?Interactive complex systems

behave unpredictably



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Intangibility? Growing distance from original sources of

information and things we buy, use, andbelieve

? Reputation and credibility are noteworthy

intangibles



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Convergence Leading way to Hybrid Age?Text, graphics, sound, and data can all

reside in a single place like a CD or DVD

?Privacy is a growing concern

?GRIN developments in areas

that are unregulated is a concern



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Some Persistent Challenges With Data

?Exponential Increase of Volume

?Interoperability and Shareability

?Longevity


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Persistent Challenges

? By 2020 volume of data will be 50 times larger than

it was in 2010 how do we make sense of zetabytes

of data?? Amount of metadata is growing

? Containers (i.e., files, records, packets, images,

signals) of data are growing - 25 quintillion

?

Legacy technologies reaching limits

Yet, we still endlessly hunt for data!!

*Source: EMC2

Volume of Data Growing Faster than ever*


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Persistent Challenges Interoperability: Getting systems to talk to and understand

each other (e.g., human brain and machines) Shareability: Need institutionalized ways for discovery and

access

- Problems with context

- Information sharing means different things to

different people


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Longevity of Data

- Data outlasts technology

- High failure rate to retrieve old data

- 80% - 90% of data is never accessedonce archived

-No accessibility guarantee 10 or 20+

years from now for data stored today

Persistent Challenges


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Need careful thought for informed design

Who is responsible for managing the dataproblem?

What is a good strategy for managing big data?

Where is technology in its life cycle?

Data as a platform any issues concerning therights to data?

Use of standards focus on which ones?

Good understanding of regulation compliance?


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?Data quality problems are not solvable bytechnology alone

?Architecture may reveal some data fitness

issues?Sensitivity and access concerns?

Is the data fit for use?


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35% more digital information is created

today than the capacity exists to store it. This

number will jump to over 60% over the next

several years*

What criteria and method will be used to

know what data to keep, what data to archive

and when to archive it?

Are there innovative ways to find and

manage data?


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By 2020, more than 1/3rd of all digital information

created annually will either live in or pass through the

cloud*

What common schema and semantics will beused?

How will data be protected? One company claims

the answer with quantum mechanics

What is the role of cloud in your environment?


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? Insert/embed information quality activities inexisting practices

?Business Program/Project specific

?

Life Cycle Management Practices?Enterprise Architecture

? Infiltrate leadership suite

?The C Suite desperately needs a member leader whounderstands and can communicate the strategicimportance of data (e.g. Chief Data Officer?)

NOTIONAL Some Strategy Ideas

for Information Quality in a Complex World


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?Create a community of practice for data

?Maybe start with data governance and evolve to acommunity

?Develop an Information Quality career path inpartnership with HR

?Borrow from program management elements

?Inventory best practices and leverage

?Define long term objectives and performance measuresto determine progress and impact

?The possibilities are endless!!

Change doesnt have to be big to have a big impact!

NOTIONAL - Some Strategy Ideas

for Information Quality in a Complex World


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SUMMARY

- Advances in

technology alone donot solve thepersistent problems

with data in a complexunpredictable world

that is veryinformation intensive

Thank You!

The greatest danger in times of turbulence is not the

turbulence; it is to act with yesterdays logic. --Peter Drucker

- Does IQ managementhave a role in areas where

boundaries have given way toinformation science?

Suzanne Acar

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