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The Role of Criticality in Risk-Based Inspection Programs

by Subanu Senthilkumar | Jun 4, 2025

According to Deloitte, asset-intensive industries lose up to 20% of their productive capacity due to unplanned downtime each year. This substantial loss underscores the urgent need for smarter maintenance strategies. Risk-Based Inspection (RBI), which prioritizes...

Data Quality Control vs. Data Quality Analysis: What’s the Difference?

by Subanu Senthilkumar | May 30, 2025

According to a survey conducted by Gartner, almost 60% of companies fail to track the financial impact of poor data quality each year. This lack of measurement makes it harder for organizations to recognize just how costly unreliable data can be. It also reinforces...

How Modern Data Cleansing Tools Are Transforming Master Data Management

by Subanu Senthilkumar | May 28, 2025

Approximately 85% of businesses believe data quality issues directly impact their bottom line. This widespread concern is driving a surge in smarter ways to cleanse and manage enterprise data across industries.  For asset-intensive industries such as manufacturing and...

Falling Metrics, Rising Opportunity: How to Reboot Maintenance Productivity Through Smart Optimization

by Subanu Senthilkumar | May 23, 2025

More than 55% of maintenance resources and activities in an average facility are still reactive, according to industry benchmarks. This over-reliance on reactive maintenance is often rooted in poor asset data and misaligned preventive maintenance strategies. When...

Rebuilding Trust in EAM Systems: How Asset Verification Projects Can Turn the Tide

by Subanu Senthilkumar | May 21, 2025

According to Gartner, poor data quality costs organizations an average of $12.9 million annually due to inefficiencies and lost opportunities. In EAM, where accuracy drives maintenance efficiency and planning, these costs are amplified. Inaccurate data undermines...
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