The document discusses how government management approaches are struggling to keep up with the growth of data and new technologies. It advocates for a shift to cloud computing and analytics to help governments better manage and gain insights from vast amounts of data. Moving data and processes to the cloud allows agencies to improve efficiency, scalability and information sharing across organizational silos. Paired with new analytics technologies, governments can leverage big data to enhance transparency, decision making and accountability.

1. Moving to
Smart Cloud
Computing in
Government
David McClure, Ph.D.
Associate Administrator
Citizen Services and Innovative Technologies
U.S. General Services Administration

2. Our government management approaches
are under duress
A new Performance and
Productivity Model
• Recognizes that information is
abundant, open and largely
non-proprietary and usable
• Commoditization and Shared
Services has driven IT to a
service utility construct versus
capital investment and
ownership
• Efficiency gains are derived from
highly repeatable, scalable,
error-free and fast end-to-end
processes
• Performance breakthroughs are
driven by insights from group
synthesis, problem-solving, and
diverse perspectives
A new Performance and
Productivity Model
• Recognizes that information is
abundant, open and largely
non-proprietary and usable
• Commoditization and Shared
Services has driven IT to a
service utility construct versus
capital investment and
ownership
• Efficiency gains are derived from
highly repeatable, scalable,
error-free and fast end-to-end
processes
• Performance breakthroughs are
driven by insights from group
synthesis, problem-solving, and
diverse perspectives
2
• 20th century management structures
are hierarchies, constrained by
parochial information and
organization silos locked-in by client-
server software
• Data is everywhere, yet there is so
much conflicting or inconsistent
information that multi-week data calls
have become the norm for
responding to leaders’ questions

3. Concurrently, a wave of Big Data is hitting us
3
• Worldwide information volume is
growing at a minimum rate of 59%
annually
— Gartner
• Worldwide information stored volume
is at least doubling each year.
— EMC
• 70% to 85% of data is "unstructured."
— Gartner
• 87% of performance issues in application
databases are related in some way to
data growth.
— OAUG
• Data storage costs are 3 to 10 times
the cost of procurement.
— IBM

4. The Industrial Revolution of data is indeed here
“Data is the flint for
for the next 25 years.”
Ray Ozzie
Chief Software Architect
Microsoft
Issues: - Data duplication & redundancy
- As much as 80% not used
- It’s scattered everywhere with
no information architecture
Volume of digital information
increases tenfold every 5 years
90% of the world’s data
has been created in the
last two years!
$600US buys a disc drive that stores all the
world’s recorded music!
4

5. Add a third ingredient: data analytics
(which is not new to government)
• Citizen relationship mgmt
• Security (event data)
• Logistics/supply chain
• Web analyses
• Budget/strategic planning
• Procurement/spend mgmt
• Citizen contact centers
• Banking/finance regulation
• Energy/grid management
• Intelligence
• Homeland Security
• Cyber security
• Science (energy, weather)
• Defense
• NASA
• Fraud (tax, assistance)
• Law enforcement
• Transportation planning
5

6. So, what is different today?
New Technologies
• In-memory analytics and database
management
• Visualization-based data discovery
• Content analytics
• Search-based data discovery
• Information semantic services
• Collaborative decision-making
Coupled with low cost, commodity-based
cloud computing, scale and scope are
possible unlike prior periods
Volume
Velocity
Variety
New Demands and Uses
• The push for greater
transparency and
accountability in
government is accelerating
take-up of analytics to
provide context,
visualization, and analyses
of impact and results.
• Improving decision making
via predictive analysis,
trend analysis and scenario
evaluation, identify
associations and sequential
patterns, potential impact of
new policy or operational
changes, and can be
influential in gaining
decisional/resource support
for new mission activities.
OPEN AND MACHINE READABLE
THE NEW DEFAULT
FOR GOVERNMENT
INFORMATION
OPEN DATA POLICY