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Big data analytics has become an imperative for business leaders across every industry sector. Analytics applications that can deliver a competitive advantage appear all along the supply chain decision spectrum-from targeted location-based marketing to optimizing supply chain inventories to enabling supplier risk assessment. While many companies have used it to extract new insights and create new forms of value, other companies have yet to leverage big data to transform their supply chain operations. This article examines how leading companies use big data analytics to drive their supply chains and offers a framework for implementation based on lessons learned.

Every executive has heard about the importance of Lean as a means of eliminating waste and "fat." However, when operations are novel and complex-as in product development, research, information technology, and many other kinds of projects-cutting out the "fat" turns out to be much more challenging. To understand Lean in an environment characterized by extreme novelty and complexity, we drew on our experiences with a number of processes, and in particular Lockheed Martin's Lean implementation for the F-22 fighter aircraft. Our findings lead to a path that executives and managers can follow to become Lean without compromising innovation