Accurate, complete asset master data can have a direct impact on an asset-intensive industry’s ability to reduce environmental, health, and safety risks, improve operational performance, and maintain regulatory compliance. To achieve these benefits, the as-built asset master data must be organized by a standard taxonomy and detailed to include equipment class and specific information. The master data set must also include properly structured bills of material, facilitating the association of equipment with the required spare parts for repairs as well as the maintenance plans and task lists describing detail maintenance assignments.
Utopia’s unique methodology for master data cleansing, creation, consolidation, and classification are explicitly designed to achieve the ideal asset master dataset. Utopia’s skilled team of content engineers utilize this methodology to deliver the data in the most timely and cost-effective fashion.
Utopia’s standard practice evaluates all aspects of your organization’s data:
Utopia deploys its 4Cs framework to ensure data integrity (for Assets and Materials):