Operational Analytics is an approach that centers on building a shared understanding between teams based on trusted, highly-accessible data from a warehouse, aiming to empower the data team to better serve data consumers and drive action. It's a tactical approach to using tools within the modern data stack more effectively towards a common goal. Operational Analytics bridges the gap between data and ops teams by making data available to frontline teams in real-time, allowing for trustworthy data and insight delivery, consistent picture across all tools, and reaching every customer at any scale at just the right time. By combining advanced tooling with the processes of DataOps, companies can revolutionize how they work with data, achieve better automation, understanding between cross-functional teams, and more effective workflows. Operational Analytics has made possible high-performing marketing campaigns that convert to reality, customer success outcomes such as reduced response times for common support issues, and sales teams' access to the data needed to build lasting relationships with customers at every step of the sales journey. To get started with Operational Analytics, companies can identify their biggest data pain point, get their data team and ops team on the other side talking about their needs, and start with small projects such as sending metrics to Slack.