Common Information Model RFQ

Request quotes for Common Information Model consulting, CIM implementation, IEC CIM mapping, utility data model alignment, grid model exchange, CIM-based integration, enterprise semantic modeling, data interoperability, and utility information architecture.

Complete only the fields you know. If you have a data architecture diagram, system inventory, integration list, data-quality assessment, cybersecurity questionnaire, or RFP, upload it near the end of the form.

  • CIM
  • IEC Model
  • Semantic Model
  • Interoperability
  • Grid Model Exchange
  • Data Architecture

Common Information Model RFQ Intake

This form is built for utilities and integrators evaluating CIM consulting, data model alignment, semantic modeling, interoperability, and model-exchange projects.

  • Business objective, system scope, data sources, users, architecture, and integration needs
  • SCADA, ADMS, OMS, GIS, AMI, historian, DERMS, asset, work, and enterprise system data
  • Data quality, metadata, ownership, governance, lineage, APIs, security, and compliance requirements
  • Discovery, pilot, implementation, migration, training, vendor evaluation, and success criteria

For Utility Data Foundations

Capture source systems, grid data domains, architecture, integration, APIs, models, and downstream analytics needs.

For Governance and AI Readiness

Collect data quality, ownership, stewardship, metadata, lineage, access, security, and AI-readiness requirements.

For Pilot or Enterprise Rollout

Support discovery, architecture design, pilots, implementation, migration, training, vendor evaluation, and support.

Grid Data Foundations

1. Solution Type and Business Objective

Select the data foundation solution, platform, integration, or consulting service required.

Solution Type
Primary Use Case

2. Systems, Data Sources, and Users in Scope

Define source systems, users, and data domains.

Systems in Scope
Data Domains
User Groups

3. Data Model, Integration, and Architecture Requirements

Select architecture, model, API, and integration requirements.

Architecture / Integration Requirements

4. Data Quality, Metadata, Governance, and Ownership

Define governance, data quality, metadata, and ownership needs.

Governance / Quality Requirements

5. Security, Access, Compliance, and Data Residency

Select cybersecurity, access, privacy, and compliance requirements.

Security / Compliance Requirements

6. Deployment, Platform, Pilot, and Implementation Scope

Define deployment model, project stage, and implementation needs.

Deployment / Project Stage

7. Reporting, Analytics, AI Readiness, and Success Criteria

Define downstream uses and success criteria.

Downstream Uses / Outputs

8. Vendor Evaluation, Support, Documentation, and Commercial Model

Select vendor-evaluation and commercial requirements.

Vendor Evaluation / Support
Commercial Model

9. Contact, Delivery, Uploads, and Notes

Quote Type
Support Required

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