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How to Use Reference Data to Jumpstart Building Data Models

Logility

A key factor in the success of Logility’s network optimization solution is the use of reference data. At Logility, we believe that using market reference data is more statistically sound than relying on historical data from one customer. Yes, this data is comforting in that it reconciles back to accounting numbers.

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Why Data Latency is a Real Problem in Decision-Centric Planning

ToolsGroup

In today’s hyper-competitive market, where supply chains need to be agile and responsive, even a minor delay in data can have significant repercussions. Companies are finding that data latency isn’t just a technical hiccup but a major obstacle to effective decision-making. What is Data Latency?

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Editor’s Choice: Reducing Lead Times with Real-Time Data

Logistics Viewpoints

This article is from Descartes Systems Group and looks at how companies can reduce lead times with real-time data. A container’s ETD refers to the date and time when that specific container will be available for pickup at the port/terminal. The actual time of departure is difficult (or impossible) to know well ahead of time.

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Rise of the Industrial Data Scientist

Logistics Viewpoints

Enter the industrial data scientist, a new breed of data analyst with access to more industrial data than ever before and the advanced technology to translate that information into actionable intelligence. However, leveraging AI requires data science capability, which adds additional complexity to an already complex environment.

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Gartner Report: Everything You Need to Know About Supply Chain Control Towers

Use –– Best practices and use case references. Create –– What are the steps manufacturing organizations need to build a control tower? How are these related to the five building blocks of a supply chain control tower: 1. Technology. Governance.

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5 Data Granularity Mistakes That May Cost You

ToolsGroup

How closely should you look at your data to maximize returns? In the age of big data, the challenge is no longer accessing enough data; the challenge is figuring out the right data to use. In a past article , I focused on the value of alternative data, which is a vital business asset.

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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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Building AI to Unlearn Bias in Recruiting

Research shows that the hiring process is biased and unfair. While we have made progress to solve this, it’s potentially at risk due to advancements in AI technology. This eBook covers these issues & shows you how AI can ensure workplace diversity.