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Asset Hub

Governed asset and equipment data
built for reliability and MRO excellence.

How Kasei transforms scattered asset data into a governed, standardized hub

Integrated processes and technology supporting enterprise data management

Kasei transforms scattered and inconsistent asset data into a structured, governed, and standardized hub — the backbone for digital transformation and Reliability 4.0 initiatives.

Centralized Repository

Collect all asset-related data into a single hub, eliminating silos and ensuring consistency across departments.

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Consistent Asset Hierarchies

Establish standardized asset structures that enable detailed, accurate reporting and analytics.

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Standards Compliance

Align your asset data taxonomy with global standards like ISO 14224, ISO 15926, and ISO 55000 to support reliability, maintenance, and lifecycle management.

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Data Quality & Governance

Ensure asset records are complete, accurate, and reliable with configurable governance workflows and machine learning–assisted enrichment.

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Connectivity to Enterprise Applications (CMMS & ERP)

Integrate seamlessly with cloud and on-premise applications ensuring consistency between the Asset Hub and operational systems and providing a unified data backbone across the enterprise.

Key Components of the Asset Data Hub

Kasei doesn’t just store data — it organizes the critical building blocks of asset reliability.

Asset Hierarchies & Taxonomies.png

Standardized definitions and classification across enterprise, site, plant, system, and equipment levels.

Job Plans & Maintenance Strategies.png

Standardized PM/CM/CBM tasks, frequency, labor, and material requirements for every asset.

Asset Specifications.png

Technical parameters, design details, performance characteristics, and nameplate data.

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Digitized procedures for execution consistency and compliance.
Risk & Criticality Data.

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Structured linkages between parent assets and spare parts, consumables, and subassemblies.

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Asset criticality ratings, RPN (Risk Priority Number), and risk matrices.

Failure Mode & Effects Analysis (FMEA).png

Failure modes, causes, and effects linked to asset classes for predictive maintenance.

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Alignment to ISO standards, regulatory requirements, and corporate governance rules.

Business benefits of enterprise data governance and MRO optimization

Foundation for Advanced Programs

A standardized asset hub enables:

Key business benefit
Key business benefit
Key business benefit
Key business benefit
Key business benefit

Failure analysis, reporting and predictions

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IoT implementation and connectivity

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Predictive and prescriptive maintenance programs

 

​RCM and Reliability 4.0 programs

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Faster Decision-Making​​​​

With a trusted “single source of truth,” teams can quickly access contextual asset data for planning, sourcing, and maintenance.

Stakeholder Benefits of the Asset Hub in Kasei

Maintenance Teams

See better job planning, accurate BOM visibility, and fewer emergency repairs thanks to standardized data and predictive insights.

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Analytics Teams

Benefit from seamless integration with ERP/CMMS platforms, unified governance workflows, quality reporting with reduced reconciliation errors.

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Reliability Teams 

Gain a trusted asset taxonomy, FMEAs, and criticality ratings that power root cause analysis, predictive maintenance, and Reliability 4.0 programs, enabling a shift from reactive fixes to prescriptive strategies.​

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Executives 

Experience lower operating costs, higher uptime, extended asset lifecycle, and stronger compliance, driving measurable business value.

Business benefits of enterprise data governance and MRO optimization
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