Moving to

Smart Cloud

Computing in

Government

David McClure, Ph.D.Associate Administrator

Citizen Services and Innovative Technologies

U.S. General Services Administration

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

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

The Industrial Revolution of data is indeed here

“Data is the flint for

for the next 25 years.”

Ray OzzieChief Software Architect

Microsoft

Issues: - Data duplication & redundancy

- As much as 80% not used

- It’s scattered everywhere withno 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

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

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 DEFAULTFOR GOVERNMENT

INFORMATION

OPEN DATA POLICY