Predictive Analytics During the collection stage, predictive analytics can guide data collection by identifying trends and high-risk areas, for example by monitoring surveillance cameras in specific neighborhoods. In addition, predictive tools can aid in decision-making, such as pinpointing neighborhoods where thefts are on the rise. This empowers local law enforcement to allocate resources strategically, whether by increasing patrols or launching targeted investigations in high-risk areas. By addressing localized trends, agencies can resolve cases more efficiently, reduce crime rates and amplify their impact through a data-driven approach. Leveraging predictive and collaborative capabilities can accelerate and streamline law enforcement efforts across all stages of the investigation process. Enhancing Investigations with Predictive Analytics and Collaboration Tools Collaboration Tools During the investigation stage, collaboration tools can enable seamless sharing of collected data and the resulting insights across teams and jurisdictions, helping to break down data silos. Decision Intelligence for LEAs Many law enforcement agencies today use basic graph analytics and business intelligence (BI) tools, which do not provide the robust capabilities needed for complex investigations. Decision intelligence platforms combine data fusion and analytics, enabling law enforcement to convert raw data into data-driven decisions. 4 1 Introduction 6 About NEXYTE 2 Law Enforcement Investigation Process 4 Accelerating Investigations with Decision Intelligence 5 What’s Next in Decision Intelligence 3 Decision Intelligence for LEAs