Predictive Analytics to Improve Citizen Outcomes
Governments agencies collect large amounts of data and also have increasingly complex problems to solve, such as child protection, preventing homelessness, predictive policing, and benefit fraud prevention, to reduce risks and costs. Automated pattern discovery techniques are an efficient way to uncover the relationships in data that drive these behaviors, turning data into information that can be made actionable and proactive.
In this webcast, part of our Government Innovation Series, we’ll review the business value of predictive analytics, use cases, law enforcement and risk prevention, and examples of predictive business applications. We’ll also provide a demonstration of WebFOCUS RStat, Information Builders' advanced analytics workbench that provides exploratory and predictive algorithms to enable a single platform for business intelligence (BI), data modeling, and scoring. A walkthrough of building, testing, and deploying models for predictive policing and benefit fraud prevention will be covered.