Social services organizations are frequently in reactive modes, coping with large caseloads per worker and dealing with crises well after a number of triggers and warning signs have arisen.
Goals and Objectives
To proactively collect and analyze data to understand the factors that put individuals at social risk and implementing processes for intervention and prevention. Includes measuring outcomes and success factors.
Analytics and decision-support tools, advanced analytics software, and mobile apps (social service-specific software and workforce management tools available on phones, tablets, etc)
Use Case Summary
Analytics allow social services organizations to better manage their caseload by proactively tracking at-risk individuals and connecting them with the right services before crisis points.