Remove Big Data Remove Metrics Remove Supply Chain Software
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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. In my post Mea Culpa, I reference my work with the Gartner Supply Chain Hierarchy of Metrics. What Drives Value?

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Step Past AI Hype Drive Real Value

Supply Chain Shaman

Building a software company is hard work. The big data architectures are often present in the current “AI offerings.” The supply chain planner role is the most dissatisfied of any employee in the supply chain, but most focus on improving engines using AI into conventional work processes.

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Harness Big Data with Predictive Analytics for your Supply Chain

Logility

It’s no longer considered magic because we now have advanced analytics systems that harness and organize massive amounts of disparate data and model that big data in ways that allow humans to be proactive and make informed decisions. What are Predictive Analytics for Supply Chain? Sound familiar?

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We Should Not AI Stupid

Supply Chain Shaman

He shared that he worked for a freight forwarder providing supply chain planning services for a major retailer. As a result, the project implemented by KPMG was primarily a technology implementation. As a result, the project implemented by KPMG was primarily a technology implementation. The software was never tested.

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There are Seven, not Four, Important Big Data V’s

Enterra Insights

You often read about the four “V’s” of big data. erniauskas ( @juliuscern ), CEO at Oxylabs, writes, “Big data is often differentiated by the four V’s: velocity, veracity, volume and variety. They are the four Vs of Big Data.”[3]. The Seven Big Data V’s.

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How to Use Big Data to Improve Supply Chain Visibility

Talking Logistics

According to a July 2014 supply chain research study from Accenture focused on Big Data and supply chain risk management, most organizations have high hopes for using big data analytics in their supply chain but many have had challenges in deploying it.

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Top Supply Chain Challenges for CPG companies in 2023

Logistics Viewpoints

Autonomous Supply Chains In this competitive environment, a CPG manufacturer needs to fight to get space on retailer shelves in each region, keep those shelves stocked, compete and collaborate simultaneously with e-commerce, and maintain its operating margins. each with discrete plans generated typically in sequential batch runs.