INDUSTRIAL DATA FOUNDATIONS
Trusted lifecycle information and asset data for industrial transformation.
Industrial digital transformation depends on structured, trusted, and contextualized lifecycle information. We help organisations establish industrial data foundations that support operational intelligence, digital twins, governance, interoperability, and scalable transformation.
Why industrial data foundations matter
Many industrial organisations have valuable information spread across engineering tools, document systems, maintenance systems, spreadsheets, dashboards, and project archives.
Without clear ownership, context, quality rules, and common definitions, lifecycle information becomes difficult to trust and hard to use across projects and operations.
Clarity Company helps industrial organisations structure lifecycle information, asset data, governance, and interoperability so data can support better decisions across engineering, construction, commissioning, operations, and asset management.
Our approach aligns with recognised industry frameworks and standards such as CFIHOS from IOGP, Asset Information Modelling principles, and broader industrial data governance practices.
WHAT WE HELP WITH
From scattered data to trusted industrial information.
We support the practical building blocks required to make industrial data usable, governed, interoperable, and valuable.
Data Maturity Assessment
Assess the current state of your data foundation, governance, ownership, quality, and readiness for digital transformation.
Data Governance & Operating Model
Define roles, responsibilities, decision rights, standards, and ways of working for managing data across the organisation.
Master & Reference Data
Improve consistency and control of critical asset, equipment, system, location, and classification data.
Industrial Information Standards
Support adoption and alignment of industrial information standards and frameworks such as CFIHOS, reference data libraries, asset hierarchies, and structured information handover approaches.
Metadata & Business Glossary
Create shared understanding by defining business terms, data context, ownership, and relationships.
Data Quality & Validation
Define rules, checks, and improvement processes to increase confidence in data used for decisions and operations.
Lifecycle Information Management
Structure engineering, project, handover, operational, and asset information across the full lifecycle using approaches aligned with CFIHOS, Asset Information Modelling, and industrial interoperability principles.
Operational Insight & Dashboards
Turn trusted industrial data into practical dashboards, KPIs, and decision-support views for engineering, projects, operations, and asset management.
REFERENCE FRAMEWORK
DAMA Data Management Functions
The DAMA Data Management Body of Knowledge provides a useful reference framework for understanding the different functions involved in managing data professionally.
We use frameworks such as DAMA, CFIHOS, and Asset Information Modelling concepts to help organisations create clarity around terminology, governance, ownership, lifecycle information, and improvement priorities.
The overview below is included as a reference for organisations exploring data management maturity, lifecycle information management, and industrial data operating models.
Note: the DAMA framework is not created by Clarity Company. Credit belongs to DAMA International.