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Data-driven decision making in manufacturing

SYSPRO Smarter ERP

Data-driven decision making is the process of collecting the data that a company uses, and transforming it into actionable insights. It is a modern business strategy that lets company staff make decisions based on facts instead of biases. The volume and quality of data is important.

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Leading Inventory Attack Teams with Richard Lebovitz

The Logistics of Logistics

Over his 30+ year career in the supply chain, Richard has worked with manufacturers around the world in operations, supply chain, and lean strategy roles to develop systems that can manage complex supply chains on a global scale. Richard previously founded and led Factory Logic, Inc. acquired by SAP). The Greenscreens.ai

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Data Quality: Your Digital Transformation Depends on It

Logistics Viewpoints

In a prior post , I wrote about the various ways data is transforming global supply chains. Data is the raw fuel of digital transformation and the linchpin to accelerating industry collaboration, automation, predictive insights and so many more cutting-edge capabilities (including those yet to be invented). So, what is quality data?

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Using Data to Improve Supply Chain Operations

Material Handling and Logistics

Learn how to organize your data operations in alignment with supply chain strategy. Complex supply chains generate more data, which companies can use to drive greater efficiency or engage in innovation that disrupts an entire industry—think Amazon. More data is coming in than ever before.

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Coupa Leverages Community Intelligence to Power AI

Logistics Viewpoints

This technology allows businesses to unify their procurement, expense management, invoicing, payments, sourcing, contract management, and spend analysis processes and reporting. The public cloud gives Coupa visibility to $6 trillion in transactional data that passes through their platform. “15 The best data makes for the best AI.

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The Hidden Costs: How Inaccurate Freight Data Can Inflate Your Shipping Bills

GoShip Blog

Now, scale that up to the world of freight shipping, where a small data slip can mean big money lost. In the freight shipping industry, the accuracy of freight data is more than just a detail. Every day, countless shipments crisscross the nation, each with its data points: weight, dimensions, type, and destination.

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Freight Market Intelligence: Data is crucial, but context is king

Freightos

In this article, Eytan Buchman, Freightos’ CMO, discusses the importance of data and context in global freight and logistics. The future of global freight data lies in real-time information, contextual insights, and aggregated data that can help companies make better decisions and adapt to a rapidly changing industry.

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