Remove Big Data Remove Inventory Remove Metrics
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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. Error is error, but is it the most important metric? My answer is no.

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We Should Not AI Stupid

Supply Chain Shaman

Companies speak about moving from a functional metric focus to managing corporate metrics, but this does not happen. Of the 114 balance sheet metrics tested in work with the statisticians at Georgia Tech, operating margin improvement has the highest correlation to market capitalization. Hence the Facebook analogy.)

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Leveraging Big Data in Logistics Into Meaningful Business Analytics

Intelligent Audit

One solution is to turn to big shipping data. Far from a buzzword, big data analytics in logistics and supply chain management are helping companies gain insight into their current performance while optimizing future operations. That’s why it’s critical to have an audit partner who can ingest data across all systems.

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How Can Small Businesses Make the Most of Big Data?

Unleashed

For smaller businesses just starting out, they may not have adequate resources to capture this information — and managers may not know what metrics to look out for. In this article, we explore what big data is and its benefits for small businesses, from tracking sales trends to keeping an eye on competitors. What is big data?

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3 Ways to Ensure On-Time, In-Full Delivery of Inventory

Logility

In addition, they wanted to incorporate the inventories from their parts suppliers and their geographic locations so they could minimize empty return-trip trucks and duplicate runs, as well as minimize the inventory that they had to keep on hand in their distribution centers while knowing which suppliers had what parts in stock.

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4 Ways Big Data is Changing Inventory Management

EazyStock

Big data is a term used to describe a massive volume of both structured and unstructured data that’s too large to be processed using traditional database and software techniques. In most enterprise scenarios, the volume of data is too big, moves too fast and exceeds processing capacity of existing applications.

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What Does Good Look Like S&OP?

Supply Chain Shaman

A shift from functional metrics to a balanced scorecard. I like the use of growth, margin, inventory turns, Return on Invested Capital, customer service and ESG metrics. The focus on functional metrics sub-optimizes balance sheet results. Funny, isn’t it? Improved Forecast Value Added (FVA).

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