Disruptions have forced manufacturers to pivot from Just in Time to “just in case.” Manufacturers work closely with partners to better understand threats and opportunities and plan for the worst. But staying close to a larger and more diversified supply base adds complexity and risk. Manufacturers are left building up safety stock or expediting material, crushing profits. To drive transformation that delivers ROI, manufacturers need to be able to connect data across their technology and process silos, analyze that data to develop insights, and then drive action from those insights. Many manufacturers invest heavily in collecting and analyzing but miss the action step. The companies leading the digital manufacturing revolution are tuned into the right data and use it to drive their ongoing operations.   Check out this webinar with our friends from ServiceNow to learn: · Why supply chain innovation could become the biggest competitive differentiator between success and failure in the future · Managing supply chain exceptions in the time of disruption · How to manage large complex supplier logistics and customer ecosystems      

Labor management is a good start to understanding operational performance, but productivity metrics alone are inadequate to drive efficiencies and business results at scale. Learn how Ferguson has superpowered their labor management practices with Operations Financial Management (OpsFM). Their sophisticated approach to data helps them quickly discern the root causes of performance lags – such as labor performance, processes, or a change in workflow. And by managing to both performance and cost metrics, they are able to bridge the understanding between operations and finance. Join Supply Chain Now hosts, Scott Luton and Tandreia Bellamy, along with Blake Engel of Ferguson and Dan Keto of Easy Metrics, as they show you how to bridge that gap. Learn how Ferguson manages their business by the numbers and drives operational efficiencies at scale. In this webinar you will learn: How to factor difficulty of work content and adjust labor to account for it How to identify the causes of waste and take action for efficiency gains The data sources you need to merge and unify to get visibility at this level How to approach metrics to understand process performance What are the key KPIs, from GM to employee, and how to cascade them