Remove Big Data Remove Inventory Remove Metrics Remove Sourcing
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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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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. 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. Drives Value. S&OP is a business process.

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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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The Forecasting Accuracy Bugaboo

Logistics Viewpoints

As demand forecasting accuracy increases, and the standard deviation associated with the forecast decreases, the need to hold “just in case” inventory also goes down. This leads to lower inventory carrying costs and thus better case flow. Demand forecasting should be tightly integrated to an inventory optimization application.

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Seven Mistakes You Wish Your CFO Had Not Made You Make

Supply Chain Shaman

Source E2open Shipping Index). As a result, focusing on cost and efficiency, and functional metrics throws the supply chain out of balance. Over the past two decades, organizations have become more insular and less willing or able to share meaningful data. We started the conversation with sourcing. Focus on Cost.

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6 Manufacturing Trends You Need to Know

Arena Solutions

IIoT is the connection of distinct devices within an existing internet infrastructure making it possible for manufacturers to make knowledgeable, strategic decisions using real-time data to improve cost reduction, efficiency, safety, product innovation, and more. Big data The use of big data is increasing in manufacturing.

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Conquering the Explosion of Supply Chain Planning Data

Logility

Companies across all industries and sizes struggle to make sense of and value from the available mountains of data. Structured and unstructured data including that from social media, Internet of Things (IoT) and Blockchain sources continue to stream in but much is left untouched. Figure 1: Demystifying Data Units.