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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. Using data to find patterns, inferences, and insights ensures that your company goals and plans are based on evidence and that decisions made are balanced and objective.

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Leverage freight data for confident demand planning

FreightWaves SONAR

Lack of data, lack of conviction and lack of organizational agility all conspire to keep companies from recognizing medium-term opportunities and challenges and responding decisively. It’s hard to find good data that provides a view into the next few months of consumer behavior and economic activity.

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How to Prepare an Efficient LTL Transportation Budget

Blue Grace Logistics

How to Prepare an Efficient Transportation Budget Show Submenu Resources. The Logistics Blog®. Learn how to build your shipping budget correctly. How to define your transportation needs. How you’re expecting to exit the current year. How are you going to get these items where you need them to go? Whitepaper.

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Predictive Analysis in Logistics and Supply Chain: How to Apply

3PL Links

Predictive Analysis in Logistics and Supply Chain: How to Apply | Image source: Pexels In logistics, predictive analysis is simply the process of identifying and forecasting patterns, trends, and behaviors in both human and machine learning approaches, data, and algorithms.

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How Data Can Improve Last-Mile Delivery

Shipchain

But dedicated managers have found a solution to help improve this part of delivery: data. Data is generated in all parts of last-mile delivery, and analysis of this information can help companies become proactive rather than reactive with their delivery methods. Benefits of Data for Last-Mile Delivery.

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7 Pitfalls of Stalled IBP Initiatives and How to Overcome Them

AIMMS

Additionally, most planning tools fail to incorporate the abstract data that’s required for this stage. How can you account for new products that don’t exist in master data? Often, demand planners are located in supply chain, where there is more data affinity. Pitfall #3: Demand is not owned by sales and marketing.

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Data Integrity: Why It Matters for Business

GoShip Blog

In this day and age where people’s data is being input into most, if not all, websites people are using; it is important that this valuable information is protected. Without proper data integrity, third parties or those with malicious intent may access your data without permission for their own personal gain.

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