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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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How To Jump

Supply Chain Shaman

In comparison, the improvement for a sell-in forecasting model using channel data was 7.36%. Comparison of FVA for An Inside-out Demand Model Using Orders Compared to an Outside-in Model Using Channel Data In my last blog, I state the need to jump.

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Demand Planning: Whipped And Chained by Tradition

Supply Chain Shaman

Is a comparison of COV of channel demand versus orders sufficient? Or a similar comparison of customer orders or planned orders? As a result, after four years of the initial go-live, the team blindly used planning models, distorting the plan. Bullwhip Effect at LKQ Europe Summer 2022 Testing So, why do we not measure it?

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How to Use Big Data Analytics to Drive Business Value in Procurement Forward (Part 1)

Jaggaer

Having spent decades at Kraft Foods, Kellogg’s, Johnson & Johnson, and now Biogen, Walter provides keen insight into the state of procurement today and how big data analytics is disrupting the landscape to provide CPOs with meaningful answers for more strategic procurement execution. Q: What are the big trends in manufacturing?

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Smarter Networks for Customer Fulfillment

Speaker: Hannah Testani, COO, Intelligent Audit

Join Hannah Testani, COO of Intelligent Audit, as she takes us through the reasons why your shipping could cost so much, and how to use big data and digital transformation to move the needle on your transportation spend. We'll cover: How to get all your data into an apples-to-apples comparison so it's easier to strategize.

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How AI in Supply Chain Brings Value to Your Business

Logility

Addressing this “bad data” helps improve forecast accuracy by ensuring the data used by the models is as clean as possible. Demand sensing from unstructured data leverages pattern recognition and natural language processing to read and analyze big data to recognize complex relationships and provide data insights.

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What Does Good Look Like S&OP?

Supply Chain Shaman

Companies are clear on the difference between sales-driven and market driven signals, and marketing-driven in comparison to a market-driven process. Sales and marketing-driven processes are functional and no substitute for the use of channel data and improving the time for the organization to respond at the speed of business.

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