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Asset Data Services
21Tech’s Asset Data Services provide asset-intensive organizations with the tools and expertise to harness the full value of their asset information. At the heart of this offering is the 21Tech Asset Data Hub—a centralized platform that documents your organization’s complete asset feature dictionary and creates vital links between data elements, asset management standards, operational processes, and tailored training materials.
Unlock Data Value
Transform raw asset data into actionable insights for better decision-making.
Ensure Data Quality
AI-powered guidance helps users enter accurate, complete, and standardized data.
Accelerate Compliance
Link asset data directly to industry standards (IAM, GFMAM, ISO 55000) and regulatory requirements.
Boost Operational Efficiency
Streamline processes by connecting data elements to workflows and training resources.
Empower Analytics
High-quality, well-structured data enables advanced analysis, reporting, and predictive modeling.
Support Change Management
Provide staff with context-rich, role-specific training linked to real data elements.
Future-Proof Your Data
Establish a robust data foundation ready for evolving business and technology needs.
Approach Strategy
Our approach to providing asset data services begins with a clear understanding of your current data landscape—assessing sources, structure, and quality. We then develop a tailored asset feature dictionary and implement the 21Tech Asset Data Hub to centralize and connect critical information. AI-powered tools support data entry and integrity, while standardized mapping ensures alignment with processes, compliance, and training. The result is a sustainable, continuously improving data foundation that empowers effective asset management.
1
Data Landscape Assessment: Evaluate current asset data sources, structures, and quality.
2
Feature Dictionary Development: Build a comprehensive, standardized asset feature dictionary tailored to your organization.
3
Data Hub Implementation: Deploy the 21Tech Asset Data Hub to centralize documentation and linkages.
4
AI Integration: Embed AI-powered data entry assistants to support users and improve data integrity.
5
Process & Standards Mapping: Connect data elements to asset management standards, business processes, and compliance drivers.
6
Training Resource Alignment: Integrate data elements with customer-specific training materials for targeted learning.
7
Continuous Data Improvement: Establish ongoing monitoring, validation, and enhancement cycles.
Technology
- Cloud-Based Data Hub: Secure, scalable platform for centralized asset data management.
- AI/ML Algorithms: Practical artificial intelligence to guide data entry and validate data quality.
- Integration APIs: Seamless connectivity with EAM, ERP, GIS, and other enterprise systems.
- Data Governance Tools: Support for data stewardship, lineage, and compliance tracking.
- Interactive Dashboards: Real-time visualization of data quality and asset information.
Tools
- Asset Feature Dictionary Builder: Streamlined tool for documenting and standardizing asset attributes.
- AI Data Entry Widgets: Embedded assistants within EAM systems to prompt, validate, and correct entries.
- Data Quality Assessment Suite: Automated checks for completeness, consistency, and accuracy.
- Process Mapping Utilities: Visual tools to connect data elements with business processes.
- Training Resource Manager: Organize and link training materials to specific data fields and workflows.
Key Components
Our Asset Data Services cover six key areas:
Asset Data Hub
AI Data Entry Assistants
Standards Alignment Engine
Process Integration Layer
Training Linkage Module
Data Quality Dashboards
Asset Data Hub
Central repository for asset feature definitions, standards mapping, and process linkages.
AI Data Entry Assistants
Real-time support for users entering and updating critical asset data.
Standards Alignment Engine
Automated mapping of data elements to IAM, GFMAM, and ISO 55000 requirements.
Process Integration Layer
Connect asset data to operational workflows and reporting needs.
Training Linkage Module
Tie data elements to relevant training content for contextual staff development.
Data Quality Dashboards
Monitor, track, and improve data accuracy and completeness.
Analytics Enablement Toolkit
Prepare data for advanced analysis, visualization, and predictive modeling.
Strengthening Data Services Through Trusted Alliances
Our collaborations span vendors, standards bodies, and technology experts to ensure high-quality, reliable, and actionable asset data.
EAM & ERP Vendors
Integration expertise with IBM Maximo, Hexagon EAM, and other leading platforms.
Industry Standards Organizations
Ongoing collaboration with IAM, GFMAM, and ISO committees.
AI Technology Providers
Partnerships to deliver state-of-the-art data quality solutions.
Training Content Developers
Work with subject matter experts to create and align training resources.
Data Governance Alliances
Collaborations to ensure best-in-class data stewardship practices.
Expertise and Credentials
21Tech’s Asset Data Services and Asset Data Hub deliver the foundation for reliable, actionable, and future-ready asset information—empowering your organization to achieve operational excellence, compliance, and data-driven transformation.
Asset Data Management Specialists: Deep experience in asset data modeling, governance, and quality improvement.
Certified EAM Professionals: Team members accredited by IAM, GFMAM, and leading EAM vendors.
AI & Analytics Experts: Proven track record in deploying AI-driven data quality and analysis solutions.
Process Integration Consultants: Specialists in linking data to business processes and compliance frameworks.
Training and Change Management Leaders: Experts in developing and aligning training to real-world asset data.
