ANALYTICS FOR CHILD WELL-BEING

Using analytics to keep children safe.

Consider more options and scenarios, determine the best allocation of resources and implement the best plans for accomplishing goals.

Gain a holistic view of all data available for a child.

Get a broader, more comprehensive understanding of a child, as well as the child's home, school or family environment, by accessing and integrating child-related data from all available sources – social services, foster care, education, health services, child support enforcement, criminal justice systems and more.

Improve child outcomes, reduce child support delinquency and increase collections.

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. Provide caseworkers and managers with timely information they can use to proactively improve program outcomes. Reduce child support delinquencies, increase collections, and more efficiently manage hundreds of thousands of cases every year.

Accurately assess a child's risk to keep children safer.

Go beyond traditional risk assessment tools by incorporating quantitative capabilities that can help improve child safety. Important child-related information is continually monitored and updated, and automated alerts notify caseworkers whenever established thresholds are breached so they can intervene promptly to help keep children safe.

KEY FEATURES

In many instances of child abuse or neglect, information is available that could help identify high-risk situations before tragedies occur. That's why SAS is combining its industry-leading data management and advanced analytics with proven models that can help save children's lives.

Comprehensive data management

Access child-related data no matter where it is stored – from legacy systems to Hadoop. SAS Data Management is truly integrated, and all components – from data quality to data federation technology – are part of the same architecture.

A hybrid analytical approach

Only SAS applies multiple analytical techniques – business rules, anomaly detection, predictive modeling, social network analysis, geospatial analysis, etc. – to provide the most robust child safety risk scoring solution available.

Risk-weighted scoring

Advanced analytics provides a weighted influence for each risk factor and incorporates complex interactions into an overall risk score.

Advanced social network analytics

Identify individuals associated with an at-risk child and capture important data about them – criminal histories, behavioral health data, drug or alcohol treatment data, etc.

Automated monitoring

Risk scores are continuously recalculated based on the most up-to-date information, and an alert engine proactively notifies case workers when risk thresholds are exceeded.

Reporting

An easy-to-use reporting interface enables you to share critical information in a variety of ways – from raw data reports to pie and bar charts, graphs, and more.

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Protecting At-Risk Children With Analytics

Each year, more than 40 million children suffer from some form of neglect or abuse – and case workers are often so overloaded with work that it's difficult to know which cases to prioritize. Find out how advanced analytics from SAS helps workers spot trends and patterns that could save a child's life.

Integrated Solutions

SAS^® for Child Safety

Integrate data from case management systems with child-related data from a variety of sources – social 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 caseworkers can use the results to prioritize cases. An alert engine automatically notifies caseworkers when a child's risk score exceeds the established threshold. With SAS for Child Safety, you can:

Use all available data to accurately assess each child’s risk.
Help caseworkers prioritize cases and intervene proactively to ensure child safety.
Use advanced social network analytics to identify individuals associated with an at-risk child.

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 state agencies. With this solution, you can:

Take a more targeted and insightful approach to looking at utilization 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.

SAS^® for Child Support Services

Get useful, timely information that can help reduce child support delinquency and increase collections. Using advanced data management and predictive analytics, SAS for Child Support Services enables agencies to provide case 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.

Explore More on Analytics for Child Well-Being and Beyond

CUSTOMER STORY

Child support agency uses analytics to provide better options for parents

Learn how Orange County California's data-driven approach empowers caseworkers to help parents make decisions that benefit their children.

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ARTICLE

Improve child welfare through analytics

Learn about the tremendous potential for child welfare agencies to use data and analytics to prevent child abuse and improve outcomes for children and families.

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WHITE PAPER

How Public Sector Agencies Can Use Analytics to Lead Through Crisis

Discover how analytics positions leaders to act based on evidence, with confidence that their choices will deliver the best possible outcomes.