Big Data Metrics Supply Chain Software 
Supply Chain Shaman
MAY 21, 2024
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?
Logility
MARCH 14, 2023
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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Supply Chain Shaman
SEPTEMBER 22, 2024
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.
Enterra Insights
OCTOBER 20, 2022
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.
Talking Logistics
SEPTEMBER 18, 2014
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.
Logistics Viewpoints
MARCH 9, 2023
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.
Logility
OCTOBER 6, 2023
For the last decade supply chain leaders and CIO’s have been evaluating when and how to move their supply chain applications to the cloud. Increased visibility – a cloud platform provides real-time visibility into critical supply chain data, such as inventory levels, which can help you make informed decisions.
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