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.
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.
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.
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.
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.
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.
Explore More on Analytics for Child Well-Being and Beyond
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.
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.
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.
Check out these products related to Analytics for Child Well-Being.
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