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Analytics Platforms Empower Better Logistics Data Management & Decisions

Intelligent Audit

Logistics data management remains essential to keeping the supply chain network profitable. However, many management teams still struggle with this concept. Learning to take advantage of logistics data management can help ensure success in 2021. The Problem With Decisions Made Based on Old or Raw Data.

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Supply Chain Planning In Excel: A Perilous Path

Logility

Limited Data Handling Capabilities Excel is a versatile tool for basic data management and analysis, but when it comes to handling vast amounts of complex supply chain data, it falls short. The risk of errors increases as the complexity of the supply chain grows, making it an unreliable tool for effective planning.

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Five Causes of Analysis Paralysis You Can Avoid

TMC

Either way, a surfeit of data can gum up the decision-making process and make it more difficult to pinpoint the root causes of problems that are undermining the efficiency of your freight network. There are many causes of data proliferation, but here are five that, in our experience, are especially relevant in the logistics space.

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What is Supply Chain Decision Support? Are We Rearranging Deck Chairs on the Titanic?

Supply Chain Shaman

Based on the Supply Chains to Admire analysis, the first question is: Why do the cost reduction strategies not translate into operating margin improvement against peer groups? He provides services to companies on master data management and is more familiar with transactional processing than decision support. This is his world.

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Pandemic Lessons For Supply Chain Leaders

Supply Chain Shaman

Re-implement demand planning, trade promotion management, and revenue/price management together to improve the baseline demand signal. This means building a cognitive engine to sense, learn, and adapt using market data for innovators. Need For What-If Analysis. In addition, build a planning master data management system.

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Five Causes of Analysis Paralysis You Can Avoid

TMC

Either way, a surfeit of data can gum up the decision-making process and make it more difficult to pinpoint the root causes of problems that are undermining the efficiency of your freight network. There are many causes of data proliferation, but here are five that, in our experience, are especially relevant in the logistics space.

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Implementing Last-mile Delivery Technology

Logistics Viewpoints

Evaluating Pricing Models When it comes to pricing models, businesses should consider their budgeting needs, cost analysis, customization requirements, and alignment with long-term goals. It is beneficial for cost and bill of material analysis but can be challenging to budget for.