IT operations management (ITOM) provides a structured model designed to optimize resource utilization, improve efficiency, prevent infrastructure sprawl, and support scalability (Edwards, 2024). ITOM is responsible for managing an organization's information technology needs, including provisioning, performance, capacity, and the availability of IT infrastructure. As a component of IT service management (ITSM), ITOM covers essential areas like helpdesk operations, network infrastructure management, and server and device management (IBM, 2024).

Proactive monitoring is instrumental in preventing potential incidents from escalating, playing a pivotal role in a well-defined incident management strategy. In IT operations, effective incident management is essential for reducing downtime, improving customer experience, protecting the organization's reputation, and ensuring compliance with regulatory requirements. A comprehensive plan should encompass incident identification, prioritization, diagnosis and investigation, a communication strategy, documentation and reporting, and continuous improvement (Squadcast, 2024). Automated incident response enhances system availability and reliability by addressing incidents in real-time, swiftly remediating issues, and collecting data for post-incident review and analysis. This automation can handle multiple incidents simultaneously and take over routine tasks, thereby reducing the IT workload and freeing up resources (Squadcast, 2024).

Automation also improves efficiency in provisioning tasks through the use of Infrastructure as Code (IaC), which stores infrastructure specifications in configuration files. This allows developers to automate the provisioning process by executing a script and streamlining the overall workflow (Red Hat, n.d.). Additionally, integrating robust data security measures into IT operations is important for mitigating risks associated with data breaches and safeguarding sensitive information. Strategies like data governance, data lineage, data quality measurements, and encryption are essential in managing the growing complexity of the data security landscape, especially with the rapid increase in connected devices and data requirements. Comprehensive protection and sophisticated security practices are necessary to ensure the integrity and security of organizational data (Fox, 2024).

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