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Why Master Data Management is Important in Trade Compliance

3rdwave

In most organizations, the ERP is meant to be the repository of the organizations’ master data. That is, ‘important’ data is housed there. However, Master Data Management is seen as a challenge in most organizations. Important data is a matter of perspective. Why is that?

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Robots Take Center Stage at MODEX 2024

Logistics Viewpoints

The robots can perform various tasks, such as transporting goods, picking orders, sorting items, and replenishing inventory. NLP can also help robots to access and process information from various sources, such as manuals, databases, or websites.

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Digital Transformations Require Clean, Accessible, Up to Date Data

Logistics Viewpoints

This is also a data issue. Master data management (MDM) as a critical performance driver for the enterprise. What is Master Data Management? Master data management is the discipline in ensuring data is accurate, accessible, and up to date. Achieving Data Mastery. They offer several tips.

Data 197
article thumbnail

Why Master Data Management is Important in Trade Compliance

3rdwave

In most organizations, the ERP is meant to be the repository of the organizations’ master data. That is, ‘important’ data is housed there. However, Master Data Management is seen as a challenge in most organizations. Important data is a matter of perspective. Why is that?

article thumbnail

Why Master Data Management is Important in Trade Compliance

3rdwave

In most organizations, the ERP is meant to be the repository of the organizations’ master data. That is, ‘important’ data is housed there. However, Master Data Management is seen as a challenge in most organizations. Important data is a matter of perspective. Why is that?

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Why Logistics and Transportation Should Digitize

3rdwave

Digitization is suddenly so important because the current technology supports the capturing of phenomenal amounts of raw data from an unlimited number of sources and the converting of that data into meaningful, contextual, and actionable information – quickly and at low cost. Why should Logistics Care about Digitization?

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Data Quality: Your Digital Transformation Depends on It

Logistics Viewpoints

I like the simplicity and clarity of Informatica’s definition of data quality: Data quality refers to the overall utility of a dataset(s) as a function of its ability to be easily processed and analyzed for other uses. FourKites’ CTO Vivek Vaid sums it up this way: We care about data quality because it leads to better data science.

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