Property insurance is undergoing significant transformations due to severe weather events and the rise of parametric solutions, which pay out based on predefined triggers rather than actual loss assessments. However, crime data remains an often overlooked factor in property risk assessments, with FBI estimates revealing over $16 billion in annual losses due to property crimes alone. Organizations are taking a more sophisticated and data-driven approach to risk management by using advanced spatial analytics that improve property risk assessments. CARTO plays a pivotal role in this process by offering users the ability to undertake advanced spatial analytics that enable insurers and real estate managers to make more informed, proactive decisions. The company's low-code design tool, CARTO Workflows, allows users of all technical levels to implement complex analyses with ease. By using Detect Space-time Anomalies, a feature within CARTO Workflows, users can identify vacant buildings in areas experiencing anomalously high rates of violent crime, which can be highly beneficial for real estate insurance companies as vacant properties are more vulnerable to vandalism, theft, and arson. This insight enables better risk management and helps insurers mitigate potential losses, ultimately improving the accuracy of underwriting decisions and enhancing profitability.