Validate (Data Validation Software)
Powerful Engineering Data Validation Software
asset55 Validate is a software platform that creates real-time line of sight of asset maturity. It identifies data inconsistencies before they impact asset performance, supporting mitigation on capital project execution and ensuring operational requirements for life of field.
asset55 Validate provides:
• Compliance to tag naming specifications and company taxonomy
• Consistency of tags and attribution across source records
• Completeness of attribution based on tag type rules
• Confidence in asset data foundation
Major capital projects produce significant volumes of data. Lack of integrated engineering suites leads to manual processes which significantly increase the likelihood of data quality issues.
Poor data quality creates engineering inefficiencies, impacts digital processes and data driven planning and is often not identified until it is too late, resulting in schedule delays and cost impacts and operational inefficiencies. Common examples include:
- Missing Tags
- Tag Name Inconsistencies
- Incomplete / Inconsistent Attribution
- Inconsistent Revision Control
- 3D Model Naming
Driven by Engineering Systems
asset55 Validate is agnostic to design tools and is populated via Microsoft Excel upload templates. Engineering systems provide the primary source records for validation.
These include SPID, SPEL, SPI, 3D model, line lists, valve registers, cable schedules, and equipment lists, etc.
Relationships are created at a tag level across source records, which provides the foundational elements for analysis.
Integrated reporting is available through custom dashboards created specifically for the needs of the project directly from within asset55 Validate.
Once established, these automatically update providing real-time insights for effective decision making – enabling collaboration by connecting site and home office teams.
Dashboards enable management style summaries as well as detailed interrogation of data quality findings, by error type, tag type, data source and responsible engineer.
Validate - Flyer 1_0.pdf
Relative Business Impact
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