This presentation will discuss how a shift from traditional agile metrics (Story Points, Velocity) to actionable flow metrics (Work In Progress, Cycle Time, Throughput) at scale, led to reduced Cycle Times, increased quality, and increased overall predictability at Siemens Health Services. The audience will learn through review of real data and charts from recent releases how that by understanding flow and more importantly the metrics of flow—Siemens was able to take specific actions in order to greatly improve predictability, quality and overall process performance.

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Daniel Vacanti is a 20+ year software industry veteran who has spent most of his career focusing on Lean and Agile practices. In 2007, he helped to develop the Kanban Method for knowledge work and managed the world’s first project implementation of Kanban that year. He has been conducting Lean-Agile training, coaching, and consulting ever since. In 2011 he founded ActionableAgileTM (previously Corporate Kanban) which provides industry-leading predictive analytics tools and services organizations that utilize Lean-Agile practices. In 2015 he published his book, “Actionable Agile Metrics for Predictability”, which is the definitive guide to flow-based metrics and analytics. Daniel holds an M.B.A. and regularly teaches a class on lean principles for software management at the University of California Berkeley.