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Showing posts from June, 2024

Rescuing Tribal Knowledge: How Connected Workers are Future-Proofing the Shop Floor

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Walk into any manufacturing shop floor, and you’ll see incredible feats of engineering. Automated arms moving with millimeter precision, CNC machines whirring, and dashboards tracking OEE in real-time. But look closer at the human element, and you’ll often find a different story: a veteran operator tapping a gauge just right to fix a pressure spike, a scribbled note taped to a control panel, or a crucial troubleshooting step trapped entirely inside someone’s head. In manufacturing, the greatest asset isn't the machinery—it’s the collective intelligence of the people running it. Yet, as a generation of highly skilled workers prepares for retirement, factories face a quiet crisis: the tribal knowledge drain. The Cost of Silent Knowledge When a seasoned technician retires, their decades of problem-solving don't automatically get transferred to the next hire. They walk out the door. For the incoming digital-native workforce, traditional training methods—like thick, dusty paper bind...

Navigating the Data Seas: The Role of Governance, data quality, data classification and the CIA model in ERP Systems

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Enterprise Resource Planning (ERP) systems play a crucial role in modern organizations by integrating various functions and processes into a unified platform. These systems serve as the backbone of businesses, allowing them to streamline operations, improve efficiency, and enhance decision-making. Within an ERP system, data management is a central component, as it involves the collection, storage, processing, and analysis of vast amounts of data from different departments. Effective data management within ERP systems is essential for ensuring data accuracy, consistency, and accessibility across the organization. Poor data governance can have detrimental effects on the performance and reliability of ERP systems. When data governance practices are lacking, organizations may face challenges such as data silos, data inconsistencies, security vulnerabilities, and compliance issues. These issues can lead to inaccurate reporting, operational inefficiencies, and increased risks. Without a soli...