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From Mess to Masterpiece: How Data Cleansing Improves Your BOM Accuracy

by Subanu Senthilkumar | Aug 27, 2025

A study conducted by IBM finds that poor-quality data costs the U.S. economy more than $3.1 trillion every year due to lost productivity and operational errors. Inaccurate Bill of Materials (BOM) records are part of that cost, as they drive procurement delays and...

The Role of Clean Master Data in Successful CMMS and EAM Implementations

by Subanu Senthilkumar | Aug 22, 2025

A modern CMMS or EAM system is only as strong as the data it runs on. While organizations invest millions in enterprise systems, they often overlook a critical component: clean and structured master data. According to previous studies, poor master data quality costs...

Revolutionizing Industrial Operations: How AI-Powered Maintenance Is Changing the Game

by Subanu Senthilkumar | Aug 20, 2025

According to Deloitte, unplanned downtime costs industrial manufacturers an estimated $50 billion annually while poor maintenance strategies can reduce plant capacity by 5–20%. As part of broader digital transformation efforts, intelligent maintenance strategies have...

The Role of Automation in Streamlining CMMS and EAM Data Migration

by Subanu Senthilkumar | Aug 15, 2025

According to McKinsey, automation can reduce manual data processing time by up to 45% during technology migration projects. This efficiency is particularly valuable when transitioning data to modern CMMS or EAM platforms. With thousands of asset records, maintenance...

CMMS Data Migration Best Practices: A Step-by-Step Guide to a Smooth Transition

by Subanu Senthilkumar | Aug 13, 2025

A recent study found that 83% of data migration projects either fail or exceed their budgets and timelines. These numbers highlight the challenges organizations face when moving critical maintenance data into a new CMMS. Without proper planning and execution,...
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