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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
Digital Age Characteristics
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?Our problems and opportunities are
linked
Interconnections
Digital Age Characteristics
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Immediacy?Changes occur at high
speed and are often times:
?
irregular,?disorderly, and
?unpredictable
Digital Age Characteristics
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Unpredictability?Interactive complex systems
behave unpredictably
Digital Age Characteristics
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Intangibility? Growing distance from original sources of
information and things we buy, use, andbelieve
? Reputation and credibility are noteworthy
intangibles
Digital Age Characteristics
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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
Digital Age Characteristics
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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?