The NRX Blog
Why Data Quality in SAP PM is the Foundation of Effective Maintenance
Research from Gartner reveals that poor data quality costs organizations an average of $15 million annually, largely due to inefficiencies and reactive decision-making in operational areas. In the context of enterprise maintenance, the quality of data within SAP Plant...
How SAP S/4HANA Transforms Plant Maintenance: Dive into PM Optimization
According to IDC, organizations that transition to modern ERP systems such as SAP S/4HANA report up to 53% improved operational efficiency across asset-heavy operations. For enterprises relying on cost-effective maintenance of physical assets, the transformation from...
Transforming Critical Asset Data into Actionable Risk Insights with RCA
A study by Deloitte found that companies using predictive maintenance strategies achieve greater equipment uptime and reduce maintenance costs by 5% to 10%. As organizations collect more equipment data through CMMS and EAM systems, the key challenge is turning that...
How to Identify and Prioritize Critical Assets in Your Maintenance Strategy
According to widely reported estimates from the International Society of Automation, manufacturers across all industries lose approximately 5% of plant production each year to unplanned downtime, which results in a global economic impact of nearly $647 billion. In a...
Boosting Asset Reliability Through Smarter Preventative Maintenance
A report from the U.S. Department of Energy reveals that preventative maintenance can reduce equipment failures by as much as 70%. This substantial impact underscores the importance of strategic maintenance in enhancing asset reliability. In industries where uptime is...
How Smart Maintenance Scheduling Can Cut Costs and Boost Uptime
Industrial manufacturers lose an estimated $50 billion annually due to unplanned downtime. These losses often stem from inefficient maintenance scheduling that fails to align with asset needs or operational priorities.What Is Maintenance Scheduling? Maintenance...
Predictive Maintenance with AI-Driven CMMS: A Game Changer
A Deloitte study found that predictive maintenance can reduce facility downtime by 5% to 15% and increase labour productivity amongst teams by 5% to 20%. This capability is driven by the integration of AI into CMMS platforms, where real-time analytics and machine...
How AI is Transforming CMMS: Key Benefits for Maintenance Teams
According to PwC, predictive maintenance enabled by AI can reduce operational costs by up to 30% and cut unplanned downtime by as much as 45%. These outcomes are not future projections. They are being realized by organizations that have embraced AI-powered...
Why Asset Hierarchy is the Foundation of Effective Industrial AI
Reports have found that data issues impact 60% of AI implementation efforts in asset-heavy industries, and this shows how data quality remains one of the biggest barriers to success. The value of industrial AI lies not just in algorithms but in the data those...
Building a Smart Asset Hierarchy: Best Practices for Industrial AI Integration
Nearly 70% of industrial companies say data quality and structure are the biggest obstacles to successful AI initiatives. In industrial operations, data drives insight. Yet, without the right structure, even vast amounts of asset data lead to inefficiency. An...