The document discusses the critical role of automated data search, identified as ID 3010 in the Automation Capability Matrix, in enhancing organizational efficiency in cybersecurity, IT operations, and compliance. It emphasizes the importance of using Security Information and Event Management (SIEM) systems to streamline the process of querying, filtering, and retrieving data from various sources, thereby aiding quick response to security events and facilitating data-driven decision-making. The text outlines the benefits of automation in data search, such as reduced manual intervention, faster response times, and the ability to handle complex queries with multiple variables. It also highlights practical approaches to implementing automated data search, including leveraging SIEM alerts for threat investigation, using scheduled statistical queries for continuous monitoring, and employing pagination to manage large data sets. Additionally, the document addresses potential challenges like handling long queries and timeouts, and it suggests practical applications of data search in workflows like ad hoc searching, phishing response, and historical event analysis, ultimately underscoring the enhancement of security and operational efficiency through automated data search.