In today’s fast-paced industrial and infrastructure-driven environments, the integrity of maintenance data plays a critical role in effective asset management and operational performance. The “Achieving Excellence in CMMS Data Integrity Training Course” by Oxford Training Centre, under the category of Power Systems & Maintenance Training Courses, delivers a highly-focused, practical learning experience designed to address common and emerging challenges associated with Computerised Maintenance Management Systems (CMMS).
This intensive five-day course aims to strengthen your organisation’s capability in ensuring the reliability, completeness and usefulness of data within CMMS platforms. With a primary emphasis on enhancing CMMS Data Integrity, it also addresses broader aspects such as Maintenance Software, equipment coding, spares optimisation, and Data Accuracy throughout asset lifecycles. Whether you’re undertaking new CMMS builds or refining legacy systems, this course equips professionals with the knowledge, methods and standards needed to achieve sustainable improvements in maintenance data.
Course Objectives
By the end of this course, participants will be able to:
Understand the foundational principles and business importance of CMMS Data Integrity
Audit and evaluate existing data for consistency, accuracy, and completeness
Master the processes of building and cleansing equipment and spares records in CMMS
Apply structured methodologies for new data builds or migration from legacy systems
Recognise how poor Data Accuracy compromises reliability engineering and maintenance planning
Implement practical data standards and develop controlled vocabularies
Collaborate effectively with third-party service providers during data implementation projects
Gain confidence in managing critical elements of Maintenance Software, including asset hierarchies, maintenance plans and bill of materials
Target Audience
This course is ideally suited for professionals who are responsible for or rely heavily upon the data captured in maintenance systems, including but not limited to:
Maintenance Engineers, Maintenance Managers, and Maintenance Analysts
CMMS Key Users and System Administrators
Asset Management Professionals
Spare Parts and Inventory Personnel
Maintenance Planners and Reliability Engineers
ERP or CMMS Implementation Project Leaders
Anyone involved in managing or verifying data quality within maintenance systems
Course Content
Day One: Understanding CMMS Data and Structuring Principles
Introduction to CMMS Data Integrity and its role in modern maintenance
Identifying common data issues: duplication, legacy contamination, poor standardization
Designing effective asset hierarchies and maintenance groupings
Importance of data standards, naming conventions, and controlled fields
Establishing clear ownership and governance models
Day Two: Asset Register Design and Equipment Coding
Principles of asset identification and classification
Equipment criticality analysis: linking risk to data design
Building structured equipment registers with maintainable groups
Developing effective coding structures for assets and spares
Case studies of well-structured and poorly structured asset registers
Day Three: Data Quality Audit and Clean-Up Strategies
Defining measurable data quality indicators
Conducting data integrity audits within your CMMS
Tools and templates for gap analysis and completeness checks
Practical techniques for data cleansing and correction
Reviewing master data: asset tags, locations, technical specs and BOMs
Day Four: Spare Parts and Preventive Maintenance Data
Role of the Materials Master in Maintenance Software
Linking spare parts to assets: inventory integration and BOM development
Evaluating spares criticality and stock control through data
Building structured preventive maintenance tasks and job plans
Auditing and enhancing PM plans for data accuracy and task clarity
Day Five: Managing New Builds, Legacy Transfers and Third-Party Integration
Planning for new system implementations and upgrades
Guidelines for migrating legacy data to modern CMMS platforms
Managing vendors and contractors: contract clauses for data quality
Establishing periodic quality checks and governance routines
Developing internal capability for ongoing data stewardship
Course Methodology
This course uses a blend of instructor-led discussions, real-world case studies, group workshops, and hands-on exercises using sample CMMS environments or spreadsheets. Participants will be actively engaged in diagnosing problems, improving sample datasets, and building the discipline needed to manage data projects with confidence.
Certification
Upon successful completion, participants will be awarded an Oxford Training Centre Certificate of Completion. The course also qualifies for Continuing Professional Education (CPE) credits, aligning with international best practices in maintenance and reliability training.