The NRX Blog
How to Implement Data Governance in EAM: A Practical Playbook
A mid‑size manufacturer kept “fixing the data” every quarter, yet the same arguments over KPIs returned. Planners swore schedules were realistic; supervisors insisted jobs were kitted; reliability engineers questioned the failure codes. When the plant manager finally...
Why Maintenance KPIs Fail Without Data Governance
On Monday morning, a maintenance manager opens the weekly report and sees PM compliance at 92%, yet crews are still firefighting. The numbers look fine; the plant does not. That disconnect often traces back to the same root cause: the data feeding those KPIs isn’t...
The AI Hierarchy in Action: Automating Maintenance with Intelligent CMMS
Artificial intelligence requires accurate data to succeed. Without it, even advanced CMMS systems fail to deliver consistent results. For instance, 77% of data professionals report that data quality issues hinder their company’s performance. This underscores why...
AI for CMMS Explained: Where Maintenance Tech Fits in the AI Hierarchy
According to Forbes, the average cost of downtime can reach as high as $9,000 per minute in large organizations. In industries where uptime drives profitability, maintenance is a strategic priority. CMMS has evolved beyond scheduling tools into intelligent systems. By...
Optimized Maintenance Scheduling: The Secret to Higher Productivity
Unplanned downtime is one of the most damaging challenges for asset-intensive industries. It not only drives up costs and creates inefficiencies across the supply chain. According to Forbes, unplanned downtime costs manufacturers around $50 billion per year across the...
Boosting Maintenance Productivity: Proven Strategies for an Optimized Workflow
McKinsey reports that advanced maintenance strategies, including predictive and digitally enabled preventive approaches, can reduce costs by 15% to 30%. In today’s asset-intensive industries, organizations face constant pressure to maintain high operational...
Predictive Maintenance with SAP PM: A Game Changer for Industry 4.0
According to a PwC report, predictive maintenance can reduce maintenance costs by up to 12 percent, improve equipment uptime by 9 percent, and extend asset life by 20 percent. As manufacturers transition into the era of Industry 4.0, predictive maintenance powered by...
How SAP PM Streamlines Plant Maintenance for Manufacturing Industries
Deloitte reported that predictive maintenance can result in a 5 to 15 percent reduction in facility downtime and a 5 to 20 percent increase in labour productivity. Manufacturing industries face constant pressure to maintain operational continuity while keeping costs...
Ensuring Asset Data Integrity: Best Practices for EAM Migration with Quality Checks
A new EAM system migration is never just an IT project; it is a business transformation. The move offers an opportunity to clean up years of inconsistent or incomplete asset data. However, without proper planning, those same issues simply migrate into the new...
EAM Data Migration Success: How Data Quality Assessment Can Make or Break Your Project
Gartner reports that more than 83% of data migration projects either fail or run over time and budget, often because data quality issues are not addressed early. In EAM migrations, this risk is amplified as asset data is both highly interconnected and is operationally...