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  Solution Overview
SAS®
for Child Well-Being
Take a proactive rather than reactive approach to improving children’s lives
• 	 Gain a unified child view.Create an integrated view of the child,
their family and their community with data from all available
sources – social services, foster care, education, health services,
child support enforcement, criminal justice systems and more.
• 	 Accurately assess a child’s risk to keep children safer. Go
beyond traditional risk assessment tools by incorporating
quantitative analysis that can help improve child safety.Important
information is continually updated, and automated alerts notify
workers whenever established risk thresholds are breached so
they can intervene immediately to help keep children safe.
• 	 Improve child outcomes. Get a clear picture of which services
children are receiving, and assess their impact on improving
child outcomes. Identify which service or combination of
services have the best chance of helping.
• 	 Increase child support collection and reduce delinquency.
Provide workers and managers with timely information they
can use to proactively improve child support services. Increase
collections and reduce child support delinquency, and more
efficiently manage hundreds of thousands of cases every year.
Overview
Many children struggle to enjoy the quality of life they deserve and
suffer from abuse or maltreatment.Twenty-two percent of American
children live in poverty (an increase from previous years); more than
3 million reports of child abuse are made in the US each year
involving over 6 million children; we lose an average of four to seven
children per day due to child abuse and/or neglect-related deaths;
and 17.5 million children are served through child support services.
Despite good intentions,many government social services agencies
strugglewithinadequateresourcestosupportthechildrenwithwhom
they’re charged.We can’t continue to approach child well-being
challenges the same way and expect different outcomes.By using
advanced analytics solutions coupled with shared data,agencies can
improve outcomes by making better-informed decisions.
By sharing data that tracks the prevalent tendencies of delinquent
child support,workers can pinpoint factors that keep parents from
being able to pay,and provide them with services that can help them
better support their children.And if case workers can see an overall
risk score for each child based on complex interactions or risk factors,
they can intervene to keep the child safe before tragedies occur.
Investigators and child welfare professionals need better information
at their fingertips to help inform decision making on behalf of at-risk
children.Social services programs supporting children can operate
based on data and analytics to put people first and focus on
outcomes.
How SAS® Can Help
Data resides in information silos across and within government
agencies. Being able to connect this data to find trends and
patterns in a child’s situation and environment can make the differ-
ence between life and death.Safety and tragedy.Support or neglect.
With SAS® for Child Well-Being,you can ...
  Solution Overview
The powerful combination of data management and analytics gives
workers and leaders the insights they need to intervene faster when
appropriate and deliver the right services to the right children and
families at the right time.
Integrating data and applying advanced analytical methods can help
child serving agencies triage cases and alert situations that might
result in negative outcomes.SAS delivers solutions that provide a
holistic view of a child or family across systems,score and rank cases,
and deliver automatic alerts to workers.
Our SAS for Child Well-Being offering is composed of three
solutions:
•	With SAS for Child Safety, integrate data from a variety of
sources to identify key relationships and continually adjust child
risk scores.
•	With SAS for Child Outcomes Management, gain insight into
the use and impact of services on enhancing child outcomes.
•	With SAS for Child Support Services, examine timely, practical
information to increase collections and reduce delinquent
payments.
Together,these solutions can transform a social services organization
into efficiently helping those most in need,relieving burdened
employee workloads,and saving taxpayer money in the process.
We offer these broad,flexible solutions based on proven technolo-
gies designed to help child support agencies efficiently manage
hundreds of thousands of cases each year.
SAS® for Child Safety
Integrate data from case management systems with child-related
data from a variety of sources – social services benefits,education,
health care,law enforcement,criminal justice systems,etc.Then apply
advanced analytics to spot trends,uncover patterns and identify key
relationships.SAS for Child Safety uses proven predictive models to
calculate and continually adjust risk scores,and workers can use the
results to prioritize cases.An alert engine automatically notifies
workers when a child’s risk score is adjusted.With SAS for Child
Safety,you can:
•	 Use all available data to accurately assess each child’s risk.
•	 Help workers prioritize cases and intervene proactively to ensure
child safety.
•	 Use advanced social network analytics to identify individuals
associated with an at-risk child to help identify natural supports
and placement options.
•	 Information overload. Many agencies are data-rich, but
lack the tools to conduct meaningful analysis.Too much
data makes it hard to know which information is most
relevant to an individual case.
•	 Rigid and static risk assessment tools.Traditional risk assess-
ment tools lack quantitative capabilities – so they cannot rank,
segment or prioritize cases. Nor are they updated regularly or
implemented with fidelity.
•	 Information silos. Data about children and their relationships
with others is in many disparate systems, often of poor quality,
and in formats not conducive to analysis.
•	 Limited time and resources. Heavy workloads and ineffective
techniques prevent continuous monitoring of all information
on all at-risk children as well as maximizing staff and auditors’
time.
Challenges
Social
Services
Child Safety,
Foster Care,
Public Assistance
Education
Truancy, Special
Needs, Grades,
Proficiency
Health
Birth Vitals
Medicaid
Mental Health
Criminal
Justice
Court Records,
Incarceration,
Child Support
Maximize
Positive
Outcomes
Minimize
Negative
Outcomes
SAS® for Child Outcomes Management
Better understand what services children are receiving from state and
local governments,as well as nonprofit organizations.Then accurately
gauge their impact on improving child outcomes.SAS for Child
Outcomes Management applies advanced data management,
analytics and data visualization technology to child-related data
across a variety of programs,services and interventions.With this
solution,you can:
•	 Take a more targeted and insightful approach to using data
from a variety of state and local agencies in entirely new ways.
•	 Analyze outcomes to better understand how effective services
are and how big an impact they may have on a child’s situation.
•	 Determine which services or combination of services have been
most successful in the past and have the highest likelihood of
producing desired outcomes in the future.
SAS® for Child Support Services
Get useful,timely information that can help increase child support
collections and decrease delinquent payments.Using advanced data
management and predictive analytics,SAS for Child Support Services
enables agencies to provide workers and managers with timely,high-
quality information they can use to proactively improve program
outcomes.With this solution,you can:
•	 Quickly determine the most effective and efficient ways to
manage hundreds of thousands of cases every year.
•	 Identify and predict situations that might result in failure to pay.
•	 Ease the burden of caseload management by distinguishing
occasional irregularities in payment from a systematic refusal
to pay.
Case In Point: Orange County, CA
When parents don’t – or are unable to – meet their child support
obligations,social service agencies often have little recourse.
Jailing delinquent parents won’t help them pay their bills,and
the threat of jail could lead them to further avoid child support
staff – and their children.Rather than help the child,these efforts
can send a parent and their children into a poverty spiral.
California’s Orange County Child Support Services is trying
something different.It uses analytics to predict who is at high
risk of failing to pay support and identifies the factors that could
get the parent into compliance more effectively.This new
approachisdata-driven–basedonthecounty’sextensiveresearch
into the factors that help parents fulfill their obligations – and
sensitive.Their ultimate goal is to reduce the number of children
living in poverty.
Prior to using predictive analytics,caseworkers tried to figure
out how to help parents be in a better position to pay,but the
data was not easy to access.Staffers would poke through
dozens of screens to scrape together details on the parent that
might point to a solution.Could they use more education? Did
they need social services support themselves?
Steve Eldred,Director of Orange County Child Support
Services,says that predictive analytics,used in conjunction with
social safety net support tailored to the individual,can help the
agency find long-term solutions that help parents support their
children.It is an approach that he believes works particularly well
in areas like Orange County,where jobs are plentiful and wages
are decent – but the cost of living is high.Eldred’s team focuses
on finding ways to help noncustodial parents earn enough to
pay their child support.
Now,caseworkers can rapidly pinpoint factors that keep parents
from being able to pay child support, and then help them
get to the point where they can pay.The analytic approach
saves time and empowers caseworkers to help people make
changes that truly benefit their children.
“We start from the premise that almost all parents want to
support their children to the best of their ability. So let’s tailor
social support to enhance that ability. Our approach is to
concentrate on multigenerational poverty and look at the
long term rather than the short term.”
– Steve Eldred,
Director of Orange County Child Support Services
01
02
03
SAS®
for
Child Safety
SAS®
for
Child
Outcomes
Management
SAS®
for
Child Support
Services
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of
SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product
names are trademarks of their respective companies. Copyright © 2014, SAS Institute Inc. All rights reserved.
107884_S143957.0915
To contact your local SAS office,please visit: sas.com/offices
The SAS® Difference
Superior data integration and advanced analytics combined with
proven models help save children’s lives.Only SAS delivers software
and services to help you:
•	 Gain a comprehensive view of all available data for a child.
Data management techniques automatically access and inte-
grate child-related data across all available sources. Data
matching and link analysis determine important relationships.
•	 Apply multiple analytical methods that address a broad range
of vulnerabilities.After combining and cleansing data from case
management systems with data from social benefit, education,
health care, law enforcement and criminal justice systems, SAS
creates a continuous feedback loop that heightens analytical
accuracy over time.
•	 Use automatic alerts to help workers more effectively prioritize
their cases. SAS software monitors all available data sources and
automatically alerts case workers when changes occur that affect
a child’s risk score. Risk scores are continuously recalculated
based on the most up-to-date information.
•	 Capture a holistic view with easy-to-use reporting capabilities.
After selecting a scored case, workers see a detailed screen that
outlines the relevant data for that score and case.They can
configure this information to display in a way suitable to their
needs or that of the department.They can also view background
information such as related cases or payment history.
•	 Make real-time decisions and optimize services. SAS uses
analytics to make case management systems smarter, helping
workers provide the best protection possible for at-risk children:
•	 Identify the services and/or actions most likely to improve
outcomes based on the unique characteristics and require-
ments of individuals and families.
•	 Make information accessible through data visualization in a
common, open application platform that can be transpar-
ently delivered through the most appropriate mobile or
application platform, on-site or in-cloud.
•	With real-time reporting, empower staff to become involved
in the decision-making process and incorporate their experi-
ence into evidence-based systems.

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SAS for Child Well-Being

  • 1.   Solution Overview SAS® for Child Well-Being Take a proactive rather than reactive approach to improving children’s lives • Gain a unified child view.Create an integrated view of the child, their family and their community with data from all available sources – social services, foster care, education, health services, child support enforcement, criminal justice systems and more. • Accurately assess a child’s risk to keep children safer. Go beyond traditional risk assessment tools by incorporating quantitative analysis that can help improve child safety.Important information is continually updated, and automated alerts notify workers whenever established risk thresholds are breached so they can intervene immediately to help keep children safe. • Improve child outcomes. Get a clear picture of which services children are receiving, and assess their impact on improving child outcomes. Identify which service or combination of services have the best chance of helping. • Increase child support collection and reduce delinquency. Provide workers and managers with timely information they can use to proactively improve child support services. Increase collections and reduce child support delinquency, and more efficiently manage hundreds of thousands of cases every year. Overview Many children struggle to enjoy the quality of life they deserve and suffer from abuse or maltreatment.Twenty-two percent of American children live in poverty (an increase from previous years); more than 3 million reports of child abuse are made in the US each year involving over 6 million children; we lose an average of four to seven children per day due to child abuse and/or neglect-related deaths; and 17.5 million children are served through child support services. Despite good intentions,many government social services agencies strugglewithinadequateresourcestosupportthechildrenwithwhom they’re charged.We can’t continue to approach child well-being challenges the same way and expect different outcomes.By using advanced analytics solutions coupled with shared data,agencies can improve outcomes by making better-informed decisions. By sharing data that tracks the prevalent tendencies of delinquent child support,workers can pinpoint factors that keep parents from being able to pay,and provide them with services that can help them better support their children.And if case workers can see an overall risk score for each child based on complex interactions or risk factors, they can intervene to keep the child safe before tragedies occur. Investigators and child welfare professionals need better information at their fingertips to help inform decision making on behalf of at-risk children.Social services programs supporting children can operate based on data and analytics to put people first and focus on outcomes. How SAS® Can Help Data resides in information silos across and within government agencies. Being able to connect this data to find trends and patterns in a child’s situation and environment can make the differ- ence between life and death.Safety and tragedy.Support or neglect. With SAS® for Child Well-Being,you can ...   Solution Overview
  • 2. The powerful combination of data management and analytics gives workers and leaders the insights they need to intervene faster when appropriate and deliver the right services to the right children and families at the right time. Integrating data and applying advanced analytical methods can help child serving agencies triage cases and alert situations that might result in negative outcomes.SAS delivers solutions that provide a holistic view of a child or family across systems,score and rank cases, and deliver automatic alerts to workers. Our SAS for Child Well-Being offering is composed of three solutions: • With SAS for Child Safety, integrate data from a variety of sources to identify key relationships and continually adjust child risk scores. • With SAS for Child Outcomes Management, gain insight into the use and impact of services on enhancing child outcomes. • With SAS for Child Support Services, examine timely, practical information to increase collections and reduce delinquent payments. Together,these solutions can transform a social services organization into efficiently helping those most in need,relieving burdened employee workloads,and saving taxpayer money in the process. We offer these broad,flexible solutions based on proven technolo- gies designed to help child support agencies efficiently manage hundreds of thousands of cases each year. SAS® for Child Safety Integrate data from case management systems with child-related data from a variety of sources – social services benefits,education, health care,law enforcement,criminal justice systems,etc.Then apply advanced analytics to spot trends,uncover patterns and identify key relationships.SAS for Child Safety uses proven predictive models to calculate and continually adjust risk scores,and workers can use the results to prioritize cases.An alert engine automatically notifies workers when a child’s risk score is adjusted.With SAS for Child Safety,you can: • Use all available data to accurately assess each child’s risk. • Help workers prioritize cases and intervene proactively to ensure child safety. • Use advanced social network analytics to identify individuals associated with an at-risk child to help identify natural supports and placement options. • Information overload. Many agencies are data-rich, but lack the tools to conduct meaningful analysis.Too much data makes it hard to know which information is most relevant to an individual case. • Rigid and static risk assessment tools.Traditional risk assess- ment tools lack quantitative capabilities – so they cannot rank, segment or prioritize cases. Nor are they updated regularly or implemented with fidelity. • Information silos. Data about children and their relationships with others is in many disparate systems, often of poor quality, and in formats not conducive to analysis. • Limited time and resources. Heavy workloads and ineffective techniques prevent continuous monitoring of all information on all at-risk children as well as maximizing staff and auditors’ time. Challenges Social Services Child Safety, Foster Care, Public Assistance Education Truancy, Special Needs, Grades, Proficiency Health Birth Vitals Medicaid Mental Health Criminal Justice Court Records, Incarceration, Child Support Maximize Positive Outcomes Minimize Negative Outcomes
  • 3. SAS® for Child Outcomes Management Better understand what services children are receiving from state and local governments,as well as nonprofit organizations.Then accurately gauge their impact on improving child outcomes.SAS for Child Outcomes Management applies advanced data management, analytics and data visualization technology to child-related data across a variety of programs,services and interventions.With this solution,you can: • Take a more targeted and insightful approach to using data from a variety of state and local agencies in entirely new ways. • Analyze outcomes to better understand how effective services are and how big an impact they may have on a child’s situation. • Determine which services or combination of services have been most successful in the past and have the highest likelihood of producing desired outcomes in the future. SAS® for Child Support Services Get useful,timely information that can help increase child support collections and decrease delinquent payments.Using advanced data management and predictive analytics,SAS for Child Support Services enables agencies to provide workers and managers with timely,high- quality information they can use to proactively improve program outcomes.With this solution,you can: • Quickly determine the most effective and efficient ways to manage hundreds of thousands of cases every year. • Identify and predict situations that might result in failure to pay. • Ease the burden of caseload management by distinguishing occasional irregularities in payment from a systematic refusal to pay. Case In Point: Orange County, CA When parents don’t – or are unable to – meet their child support obligations,social service agencies often have little recourse. Jailing delinquent parents won’t help them pay their bills,and the threat of jail could lead them to further avoid child support staff – and their children.Rather than help the child,these efforts can send a parent and their children into a poverty spiral. California’s Orange County Child Support Services is trying something different.It uses analytics to predict who is at high risk of failing to pay support and identifies the factors that could get the parent into compliance more effectively.This new approachisdata-driven–basedonthecounty’sextensiveresearch into the factors that help parents fulfill their obligations – and sensitive.Their ultimate goal is to reduce the number of children living in poverty. Prior to using predictive analytics,caseworkers tried to figure out how to help parents be in a better position to pay,but the data was not easy to access.Staffers would poke through dozens of screens to scrape together details on the parent that might point to a solution.Could they use more education? Did they need social services support themselves? Steve Eldred,Director of Orange County Child Support Services,says that predictive analytics,used in conjunction with social safety net support tailored to the individual,can help the agency find long-term solutions that help parents support their children.It is an approach that he believes works particularly well in areas like Orange County,where jobs are plentiful and wages are decent – but the cost of living is high.Eldred’s team focuses on finding ways to help noncustodial parents earn enough to pay their child support. Now,caseworkers can rapidly pinpoint factors that keep parents from being able to pay child support, and then help them get to the point where they can pay.The analytic approach saves time and empowers caseworkers to help people make changes that truly benefit their children. “We start from the premise that almost all parents want to support their children to the best of their ability. So let’s tailor social support to enhance that ability. Our approach is to concentrate on multigenerational poverty and look at the long term rather than the short term.” – Steve Eldred, Director of Orange County Child Support Services 01 02 03 SAS® for Child Safety SAS® for Child Outcomes Management SAS® for Child Support Services
  • 4. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2014, SAS Institute Inc. All rights reserved. 107884_S143957.0915 To contact your local SAS office,please visit: sas.com/offices The SAS® Difference Superior data integration and advanced analytics combined with proven models help save children’s lives.Only SAS delivers software and services to help you: • Gain a comprehensive view of all available data for a child. Data management techniques automatically access and inte- grate child-related data across all available sources. Data matching and link analysis determine important relationships. • Apply multiple analytical methods that address a broad range of vulnerabilities.After combining and cleansing data from case management systems with data from social benefit, education, health care, law enforcement and criminal justice systems, SAS creates a continuous feedback loop that heightens analytical accuracy over time. • Use automatic alerts to help workers more effectively prioritize their cases. SAS software monitors all available data sources and automatically alerts case workers when changes occur that affect a child’s risk score. Risk scores are continuously recalculated based on the most up-to-date information. • Capture a holistic view with easy-to-use reporting capabilities. After selecting a scored case, workers see a detailed screen that outlines the relevant data for that score and case.They can configure this information to display in a way suitable to their needs or that of the department.They can also view background information such as related cases or payment history. • Make real-time decisions and optimize services. SAS uses analytics to make case management systems smarter, helping workers provide the best protection possible for at-risk children: • Identify the services and/or actions most likely to improve outcomes based on the unique characteristics and require- ments of individuals and families. • Make information accessible through data visualization in a common, open application platform that can be transpar- ently delivered through the most appropriate mobile or application platform, on-site or in-cloud. • With real-time reporting, empower staff to become involved in the decision-making process and incorporate their experi- ence into evidence-based systems.