Data Cleansing & Enrichment

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.

How Utopia Can Help

Utopia’s standard practice evaluates all aspects of your organization’s data:

  • Identify the mission-critical issues that need to be baselined to determine what's wrong
  • Help your organization develop specific business rules that are unique to your organization's particular requirements
  • Assist in putting a data quality process in place that will allow measured improvements over time, leveraging both technology and process
  • Areas such as standardization, deduplication, rationalization, enrichment, enhancement, and monitoring are all parts of a typical Utopia Data Quality program and solution

Benefits of Data Cleansing:

  • Remove duplicates in data that provide cost savings, such as avoiding excess inventory and overruns
  • Clean data enhances searchability and alignment to industry standards
  • Allows prioritization of changes to your strategic data quality as part of your digital transformation
  • Help identify data and systems that can be decommissioned and archived
  • Creates a foundation for implementing master data governance
  • Supports better, smarter, and more efficient business decisions that are based on accurate data

Utopia’s Proprietary 4C’s Data Cleansing Methodology

Utopia deploys its 4Cs framework to ensure data integrity (for Assets and Materials):

  • Classification… We assign the right class to each object.
  • Cleansing… With every class and the associated characteristics to every level, we perform parsing and the standardization of legacy data against the data dictionary.
  • Create (enrich)… Complementing the data by correcting and adding the missing pieces.
  • Consolidation… Integrating all the objects to make it a meaningful set of data and consolidating the data that comes from different sources and de-duplicating.