Remove Big Data Remove Manufacturing Remove Metrics Remove Supply Chain Technology
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Transversing the Paradox River

Supply Chain Shaman

Definition As I follow the evolution of supply chain technology, I am struck by what I see as a stream of paradox and anomaly, and the tendency of supply chain leaders to cling to convention. technologies. Definition Anomaly: something that deviates from what is standard, normal, or expected. Measurement.

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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. Tomorrow, I get to deliver this message to a large manufacturing client. I am speaking at their global kick-off.

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‘Best in Class’ Supply chain from a Road warrior perspective – Part 4

Kinaxis

by Carol McIntosh Insight #4 – Embracing Supply Chain Technology as a way to change SCM. I came to the realization that you would get the same reaction from a supply chain executive when discussing supply chain technology. I have been following the United Nations Climate Change Conference.

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Supply Chain Analytics: A Continued & Renewed Focus on Using Data for Improvement

GlobalTranz

As explained by Supply and Demand Chain Executive magazine, one of the primary ways an organization can meet this demand is by setting a performance review for suppliers. After all, a given distributor cannot evaluate a supplier without being able to see how that supplier has performed in terms of the specific metrics.

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Three Reasons Why I Love Hadoop, and You Should Too!

Supply Chain Shaman

(In computing, Extract, Transform and Load ( ETL ) refers to a process in database architectures that extracts data from homogeneous or heterogeneous data sources, transforms the data for storing it in proper format or structure for loading. Application to Supply Chain Processes. Streaming Data.

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Embracing the Digital Supply Chain

Supply Chain Shaman

The digital supply chain is cross-functional and aligned market-to-market. Traditionally, supply chain technologies are batch processes. As a result, analytics are usually based on historic data with outputs having a one- or two-day lag. However, the evolution of supply chain processes will take time.

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Using the Bits: Building Digital Outside-In Processes

Supply Chain Shaman

He spoke on the use of global sentiment data to sense and improve customer experiences. He reflected on his emotions when his CEO threw down a Harvard Business Review article on Big Data and customer-centric sentiment/social information and asked Anthony how he was going to do it. Digital Manufacturing. 4) e-commerce.