Description
Government organizations use business intelligence (BI) tools to access, organize and interpret information to improve organizational insights.
Beyond Business Intelligence
From What’s Now to What’s Next
• Identify service gaps and opportunities, and
maximize new cross-service potential
• Optimize supply chains, increase planning
efficiency, improve demand forecasting and refine
procurement, sourcing and asset management
• Identify areas for process improvement
• Reduce costs by identifying wasteful or
redundant processes
• Improve service delivery
• Improve disease management, population health
and public health
Predictive Analytics at Work
Organizations that achieve high performance
through analytics do not simply attach a BI or
data warehouse program onto existing operations.
Rather, they ask: Where can our analysis have the
greatest impact? Who needs what information
to make the best decisions? Which processes and
governance are required to ensure that the right
information reaches the right people in the right
format at the right time?
Government organizations use business
intelligence (BI) tools to access, organize and
interpret information to improve organizational
insights. They also are using analytics to achieve
their goals of moving toward more open,
transparent government operations. But often,
the data that organizations collect merely yield a
window into what has already occurred.
Forward-thinking government agencies are
using analytics as a critical tool to transform
information about now into insight about
what’s next. By moving up the analytics curve,
health and public service organizations can use
predictive analytics to shift from a reactive role to
a more proactive one—making smarter decisions,
identifying steps to achieving high performance
and delivering on health and public sector
strategic priorities.
Advantages of Analytics
Using advanced data analytics techniques,
organizations can build on their BI capabilities to
manage information more nimbly, which supports
even better decision making. Organizations
that want to achieve high performance can use
analytics to help:
Health
Analytics isn’t intended simply to
measure business, but predict business
trends as well. That has made analytics
indispensible in helping health agencies
do their jobs more assuredly and
effectively:
• The Centers for Disease Control and
Prevention can better predict what
health risks are highest, stay ahead of
outbreaks, implement preventive care
and reduce incidents.
• Predictive analytics is instrumental
in working with secondary uses of
electronic health record data to improve
population health and focus on disease
management.
• Predictive analytics helps the U.S. Food
and Drug Administration stay ahead of
the development of new medical and
food products and proactively identify
issues in the global supply chain.
• As the Centers for Medicare and
Medicaid Services focus on improving
operational performance and reducing
costs, predictive analytics will play a key
role.
• Generally, predictive analytics helps
translate data into patterns that can
help clinicians identify specific trends
and health outcomes, and uncover
previously unseen patterns to detect
and understand disease and health risk,
ultimately helping to save lives.
Human Services
Predictive analytics enables human
services agencies to recognize trends in
outcomes and measure the effectiveness
of assistance programs. This helps
agencies identify needs and plan
accordingly to serve their constituents
more successfully while helping
maximize scarce dollars and reduce
waste and redundancy.
For example, a division of child support
services is using predictive analytics
to reduce fraudulent claims and
optimize the match between cases and
caseworkers, improving the safety of
foster children.
Some examples of predictive analytics:
Postal
Predictive analytics can help postal
organizations pinpoint customer and
revenue churn, forecast inventory to
better plan for future needs and improve
the way they manage risk.
Postal organizations also can get a
glimpse into what customers will buy
and where they will buy it—whether on
site or online—to better serve customer
needs.
Because it is important to maintain
supply chain operations within postal
organizations, predictive analytics also
can help improve the management of
fleet maintenance and operations.
Revenue
Predictive analytics gives revenue
agencies the insight to target and
reduce noncompliance (tax evasion).
With the right analytics tools, revenue
executives such as comptrollers are
better able to detect fraud before
improper payments are made, saving
millions of dollars. Revenue agencies
also can run more efficiently and
process proper payments more quickly.
Public Safety
Some U.S. states are developing flexible,
scalable and cost-effective statewide
information networks that enable
information sharing across jurisdictions,
leading to effective predictive policing
solutions. For example, more than
25 law enforcement agencies across
Colorado use a secure Internet-based
solution to share information. The
solution connects disparate systems
in a distributed environment and
automatically transposes data held
by different agencies’ systems into
common code standards so it can be
shared effectively. Such secure and
effective information sharing can
enable law enforcement agencies to use
analytics to predict crime hot spots, or
the next incident in a series of crimes,
and proactively deploy resources.
Increasingly, innovative government
agencies are using predictive analytical
methods to identify trends, eliminate
fraud and waste, and improve
efficiencies. Leaders in health and public
service are benefiting rapidly by moving
toward the high end of the analytics
experience curve. They now have the
means—and the mindset—to generate
many more benefits for the societies
they serve.
For more on how predictive analytics
can enable high performance in your
organization, please contact:
John W. Hardigree
Accenture Analytics
Accenture Health & Public Service
[email protected]
+1 678 657 8645
About Accenture
Accenture is a global management
consulting, technology services and
outsourcing company, with more than
211,000 people serving clients in
more than 120 countries. Combining
unparalleled experience, comprehensive
capabilities across all industries and
business functions, and extensive
research on the world’s most successful
companies, Accenture collaborates
with clients to help them become
high-performance businesses and
governments. The company generated
net revenues of US$21.6 billion for the
fiscal year ended Aug. 31, 2010. Its
home page is www.accenture.com
Copyright © 2011 Accenture
All rights reserved.
Accenture, its logo, and
High Performance Delivered
are trademarks of Accenture.
ACC11-0333
doc_683316263.pdf
Government organizations use business intelligence (BI) tools to access, organize and interpret information to improve organizational insights.
Beyond Business Intelligence
From What’s Now to What’s Next
• Identify service gaps and opportunities, and
maximize new cross-service potential
• Optimize supply chains, increase planning
efficiency, improve demand forecasting and refine
procurement, sourcing and asset management
• Identify areas for process improvement
• Reduce costs by identifying wasteful or
redundant processes
• Improve service delivery
• Improve disease management, population health
and public health
Predictive Analytics at Work
Organizations that achieve high performance
through analytics do not simply attach a BI or
data warehouse program onto existing operations.
Rather, they ask: Where can our analysis have the
greatest impact? Who needs what information
to make the best decisions? Which processes and
governance are required to ensure that the right
information reaches the right people in the right
format at the right time?
Government organizations use business
intelligence (BI) tools to access, organize and
interpret information to improve organizational
insights. They also are using analytics to achieve
their goals of moving toward more open,
transparent government operations. But often,
the data that organizations collect merely yield a
window into what has already occurred.
Forward-thinking government agencies are
using analytics as a critical tool to transform
information about now into insight about
what’s next. By moving up the analytics curve,
health and public service organizations can use
predictive analytics to shift from a reactive role to
a more proactive one—making smarter decisions,
identifying steps to achieving high performance
and delivering on health and public sector
strategic priorities.
Advantages of Analytics
Using advanced data analytics techniques,
organizations can build on their BI capabilities to
manage information more nimbly, which supports
even better decision making. Organizations
that want to achieve high performance can use
analytics to help:
Health
Analytics isn’t intended simply to
measure business, but predict business
trends as well. That has made analytics
indispensible in helping health agencies
do their jobs more assuredly and
effectively:
• The Centers for Disease Control and
Prevention can better predict what
health risks are highest, stay ahead of
outbreaks, implement preventive care
and reduce incidents.
• Predictive analytics is instrumental
in working with secondary uses of
electronic health record data to improve
population health and focus on disease
management.
• Predictive analytics helps the U.S. Food
and Drug Administration stay ahead of
the development of new medical and
food products and proactively identify
issues in the global supply chain.
• As the Centers for Medicare and
Medicaid Services focus on improving
operational performance and reducing
costs, predictive analytics will play a key
role.
• Generally, predictive analytics helps
translate data into patterns that can
help clinicians identify specific trends
and health outcomes, and uncover
previously unseen patterns to detect
and understand disease and health risk,
ultimately helping to save lives.
Human Services
Predictive analytics enables human
services agencies to recognize trends in
outcomes and measure the effectiveness
of assistance programs. This helps
agencies identify needs and plan
accordingly to serve their constituents
more successfully while helping
maximize scarce dollars and reduce
waste and redundancy.
For example, a division of child support
services is using predictive analytics
to reduce fraudulent claims and
optimize the match between cases and
caseworkers, improving the safety of
foster children.
Some examples of predictive analytics:
Postal
Predictive analytics can help postal
organizations pinpoint customer and
revenue churn, forecast inventory to
better plan for future needs and improve
the way they manage risk.
Postal organizations also can get a
glimpse into what customers will buy
and where they will buy it—whether on
site or online—to better serve customer
needs.
Because it is important to maintain
supply chain operations within postal
organizations, predictive analytics also
can help improve the management of
fleet maintenance and operations.
Revenue
Predictive analytics gives revenue
agencies the insight to target and
reduce noncompliance (tax evasion).
With the right analytics tools, revenue
executives such as comptrollers are
better able to detect fraud before
improper payments are made, saving
millions of dollars. Revenue agencies
also can run more efficiently and
process proper payments more quickly.
Public Safety
Some U.S. states are developing flexible,
scalable and cost-effective statewide
information networks that enable
information sharing across jurisdictions,
leading to effective predictive policing
solutions. For example, more than
25 law enforcement agencies across
Colorado use a secure Internet-based
solution to share information. The
solution connects disparate systems
in a distributed environment and
automatically transposes data held
by different agencies’ systems into
common code standards so it can be
shared effectively. Such secure and
effective information sharing can
enable law enforcement agencies to use
analytics to predict crime hot spots, or
the next incident in a series of crimes,
and proactively deploy resources.
Increasingly, innovative government
agencies are using predictive analytical
methods to identify trends, eliminate
fraud and waste, and improve
efficiencies. Leaders in health and public
service are benefiting rapidly by moving
toward the high end of the analytics
experience curve. They now have the
means—and the mindset—to generate
many more benefits for the societies
they serve.
For more on how predictive analytics
can enable high performance in your
organization, please contact:
John W. Hardigree
Accenture Analytics
Accenture Health & Public Service
[email protected]
+1 678 657 8645
About Accenture
Accenture is a global management
consulting, technology services and
outsourcing company, with more than
211,000 people serving clients in
more than 120 countries. Combining
unparalleled experience, comprehensive
capabilities across all industries and
business functions, and extensive
research on the world’s most successful
companies, Accenture collaborates
with clients to help them become
high-performance businesses and
governments. The company generated
net revenues of US$21.6 billion for the
fiscal year ended Aug. 31, 2010. Its
home page is www.accenture.com
Copyright © 2011 Accenture
All rights reserved.
Accenture, its logo, and
High Performance Delivered
are trademarks of Accenture.
ACC11-0333
doc_683316263.pdf