Enterprise IT organizations are increasingly using machine data derived through DevOps practices to drive digital transformation. Machine data and predictive analytics provide DevOps teams and others - including QA, SecOps, CxOs and LOB leaders - with meaningful and actionable metrics that demonstrate business value to CIOs and IT leaders. This machine data strategy brings greater alignment between software the delivery teams, IT and the rest of the core business, ultimately driving business value. In this session, Andi Mann, chief technology advocate at Splunk, shares core methodologies, key success factors and 'gotcha' moments from real-world enterprise experiences. His talk will highlight the role of machine data and analytics in Agile Dev and DevOps as a way to drive digital transformation through collaborative, data-driven decisions made by informed and empowered teams, who are accountable to each other and the broader business.