As organizations increasingly adopt multicloud environments, IT operations analytics (ITOA) becomes crucial for effectively managing and analyzing operational data to ensure efficient cloud operations. ITOA leverages artificial intelligence to unify, store, and analyze data, providing insights that enhance the deployment of digital products, improve IT operational efficiency, and boost customer engagement. By automating tasks and employing big data technologies like Hadoop, NoSQL, and Dynatrace Grail, ITOA identifies patterns and anomalies to facilitate proactive decision-making and optimize resource management. A data lakehouse approach integrates the benefits of data lakes and warehouses, enabling unified data storage and analytics that offer real-time insights and support advanced AI analytics. This approach enhances IT operations by providing AIOps teams with improved visibility and the ability to respond to performance and security issues promptly.