Remove Big Data Remove Eliminating Excel in Purchasing Remove Metrics
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Step Past AI Hype Drive Real Value

Supply Chain Shaman

Most of the business networks were hollowed out by venture capitalists or purchased by opportunists. The big data architectures are often present in the current “AI offerings.” At the session, we will discuss the choice of metrics for a balanced scorecard to improve market capitalization/employee by industry.

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Aligning Supply Chain Metrics to Improve Value

Supply Chain Shaman

In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. To manage continuous improvement, companies need a clear definition of excellence and organizational alignment to that goal. What Drives Value?

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Three Questions People are Afraid to Ask….

Supply Chain Shaman

The consulting team pitches a theme–vision of supply chain best practices, big data analytics, or demand-driven value networks– to the executive team, and a new project is initiated. In addition, I am now done with the page proofs for my new book, Metrics that Matter. The book is a story. We hope to see you there!

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What Does Good Look Like S&OP?

Supply Chain Shaman

Clear operating strategy and definition of supply chain excellence across plan, source, make and deliver. Most companies buy decision support technology, but do not redefine work to improve decisions. A shift from functional metrics to a balanced scorecard. The focus on functional metrics sub-optimizes balance sheet results.

S&OP 390
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Throwing Down the Gauntlet

Supply Chain Shaman

I think about this discussion with Keith often as I work on the Supply Chain Index and edit the chapters of Metrics That Matter. Our current processes and dependencies on Excel spreadsheets cannot get us to our goal. E2open last week announced the purchase of Serus. I believe that value is what you create. 3) Risky Business?

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Top Supply Chain Challenges for CPG companies in 2023

Logistics Viewpoints

This is because most classical planning solutions lack the modeling capability and computing power to accommodate different data sources, large SKU count, and detailed constraints and contingencies to build an immediately executable plan. The planning process should be automated, repeatable, and not dependent on Excel-based manipulation.

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Do No Harm…

Supply Chain Shaman

I have learned that supply chain systems are more complex than I originally thought, and that the relationships between supply chain metrics are nonlinear. I have also learned that you need a large data pool to derive the type of analysis that I want to publish. It takes more than one or two respondents from a company. (I