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Big Data: A Valuable Forecast Tool to Future-Proof Supply Chains

Logility

In many cases, supply chain surprises manifest from poor visibility. Reliance on historical data can limit an organization’s ability to sense possible exposure to disruption that can impact everything from minor irregularities to extreme shifts in demand.

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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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Agile Strategic Sourcing for a Resilient Supply Chain

The Logistics & Supply Chain Management Society

The complexity and interconnectedness of the global supply chain have led to organisations becoming more dependent on suppliers than ever before. Hence, businesses must undertake the strategic sourcing process to mitigate risks in an uncertain environment and improve retail competition.

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Business’ Big Data Problem: Data Quality

Enterra Insights

.”[1] It’s hard to imagine how an organization can succeed in the Digital Age if its executives lack trust in what their data is telling them. ”[2] As a result, it appears job one for businesses is to improve data quality. Improving Data Quality. .” Which systems will we use to source the data?

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How to Optimize Supply Chain Using SQL and Big Data!

Supply Chain Game Changer

Subscribe to Supply Chain Game Changer. What is Big Data? SQL and Big Data article and permission to publish here provided by Cristina Par. To that end, let’s go through some of the ways you can achieve optimization with modern information handling products for SQL and Big Data. Subscribe Here!

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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.

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Big Data, Analytics, and Industry 4.0

Enterra Insights

Analysts from the Boston Consulting Group (BCG) explain the first three revolutions were driven by steam, electricity, and automation. They write, “Industrial production was transformed by steam power in the nineteenth century, electricity in the early twentieth century, and automation in the 1970s.”[1] revolution. revolution.