Achieving CMMS Data Integrity for the Oil and Gas Industry

Course Category : Oil & Gas Management

This programme provides a structured, practice-oriented approach to building and improving CMMS data integrity in the oil and gas industry, ensuring high-quality, reliable maintenance and asset data that support informed decision-making, risk reduction, and long-term operational performance.
Duration: 05 Training Days
Level: Intermediate

Introduction

Computerised Maintenance Management Systems (CMMS) are central to maintenance and asset management in the oil and gas sector. The quality and integrity of CMMS data directly influence decision-making, reliability performance, maintenance costs, and regulatory compliance. Yet, many organisations struggle with poor data structures, inconsistent coding, legacy data migration issues, and a lack of clear standards and governance for data builds.
This course is designed to equip participants with practical methods and best practices for building robust CMMS databases during the pre-operational phase, as well as cleaning and restructuring existing data for operating assets. It covers asset registers, maintenance and spares coding, spares databases, and preventive maintenance (PM) data, alongside quality checks, validation techniques, and structured approaches to ensure data integrity.
Drawing on typical oil and gas environments and systems (such as Maximo and SAP), the programme emphasises how to design and implement data standards, naming conventions, coding structures, and data governance processes. Participants will be able to transform their CMMS into a reliable, decision-support tool that underpins world-class maintenance and asset management..

Targeted Specializations

Maintenance personnel responsible for CMMS work-order and asset data
Inventory and warehouse teams managing spare parts data
Asset management teams in oil and gas organisations
Data analysts and reporting specialists in maintenance and operations
Cross-functional teams involved in CMMS upgrades or data migration projects
Engineers and supervisors seeking to improve maintenance and asset data quality

Targeted Skills

Understanding CMMS data structures in oil and gas environments
Applying best practices in data entry and integrity assurance
Designing and building robust asset registers with clear standards
Developing and coding spare parts databases for inventory control
Creating coding structures for failures, priorities, and work management
Building and refining PM data and job plans
Using tools such as Excel and Access for data build, review, and clean-up
Implementing data quality checks and validation routines
Managing legacy data migration and system upgrades
Establishing data governance and CMMS data standards

Expected Outcomes

Gain a clear understanding of CMMS data integrity and its impact on maintenance and asset decisions.
Diagnose common data build and data structure problems in CMMS environments.
Develop practical standards and guidelines for coding assets, spares, failures, and work orders.
Build structured asset registers using consistent naming, numbering, and attribute conventions.
Design spare parts databases that support effective inventory decisions and reduce waste.
Prepare and maintain PM data systematically linked to assets and tags.
Apply practical methods for data quality checking, data clean-up, and ongoing data improvement.
Use tools such as Excel and Access to support data build, review, and migration activities.
Support data migration and CMMS upgrades while maintaining data integrity.
Contribute to a data governance framework for maintenance and asset management.

Training Topics Index

Common CMMS data build problems in oil and gas
Scope of CMMS data and process interactions
CMMS version upgrades and critical data reviews
Using Excel and Access as data build and review tools
Introduction to Access tables, queries, and reports
Practical exercises in spare parts cataloguing

Approaches to criticality for equipment and spares
Equipment class and hierarchy concepts
Failure classes and shutdown codes
Work order priority codes and their use
Designing failure coding structures

• Practical workshop

building a failure code structure

Step-by-step asset register build process
Developing guides and standards for asset data
Naming and numbering conventions for assets
Maintainable groups and asset grouping principles
Defining equipment attributes and technical data
Performing asset data quality checks

Process for building spare parts databases
Developing standards for spares naming and numbering
Consolidating and rationalising spare parts data
Data quality checks for spares and inventory records
Determining inventory levels and reorder points

• Exercise

building a spares register linked to assets

Definitions and fundamentals of PM data in CMMS
Maximo versus SAP – common terminology and mapping
Developing generic PM strategy guides (including FMEA-based)
Writing effective job plans and task descriptions
Job plan formats, routes, and linking PMs to tags
Quality checks and practical exercises on PM data builds

Course Features

Modern and practical content
Real-world examples and leadership exercises
Pre- and post-course assessments to measure impact
Accredited certificate with QR code verification

Achieving CMMS Data Integrity for the Oil and Gas Industry