ANALYTICS FOR CHILD WELL-BEING

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.