This session: 1–5 Mar 2027
This Achieving CMMS Data Integrity: Best Practices & Strategies session in Kuala Lumpur (Malaysia) runs from Monday 1 March to Friday 5 March 2027 (week 9, Q1 2027). It is the only date in Kuala Lumpur (Malaysia) in 2027, at a fee of 4,900 £. Registration is open for this date. It is held in person.
| Dates | Monday 1 Mar – Friday 5 Mar 2027 |
|---|---|
| Week | 9 of 2027 |
| Duration | 5 days |
| Fee | 4,900 £ |
| Status | Open for registration |
| Format | In person |
Course Overview
Course Description
This comprehensive 1-week course equips participants with the knowledge and skills to achieve and maintain CMMS data integrity. Learn best practices for data builds, quality checks, and ongoing maintenance to enhance asset management efficiency and reliability. Gain hands-on experience with practical exercises and real-world case studies.
Learning Objectives
- Understand CMMS data structure and build processes
- Develop strategies for effective equipment and spares coding
- Master techniques for building and maintaining asset registers
- Learn to conduct data quality checks and audits
- Implement best practices for preventive maintenance data management
Course Modules
Day 1: Introduction to CMMS Data Integrity
- CMMS data fundamentals and importance
- Common data build challenges
- Data integrity principles and best practices
- Introduction to data quality tools (Excel, Access)
Day 2: Equipment and Spares Coding
- Criticality assessment for equipment and spares
- Developing effective coding structures
- Failure and shutdown codes
- Work order priority coding
Day 3: Building the Asset Register
- Asset register structure and components
- Naming and numbering conventions
- Equipment attributes and hierarchies
- Quality checks and data validation
Day 4: Spares Database Management
- Spares database structure and components
- Inventory level determination
- Data quality checks for spares
- Integration with asset register
Day 5: Preventive Maintenance Data
- PM data structure and components
- Developing effective maintenance strategies
- Job plan formats and best practices
- Quality checks for PM data
Practical Wins for Participants
- Ability to audit and improve existing CMMS data quality
- Skills to manage data builds and transfers effectively
- Techniques to enhance asset register and spares database accuracy
- Strategies to optimize preventive maintenance data for improved reliability
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