Data Services

GridOps360 offers end-to-end Data Services designed to support utility transformation programs through structured governance, high-quality data models, and scalable migration strategies. Our expertise spans EAM, GIS, CIS, and ADMS environments—ensuring data integrity and alignment across the enterprise.

🔍 Data Assessment & Governance

• Current State Evaluation
  • Identify data, process, and workflow gaps
  • Assess data model deficiencies and system interdependencies

• Data Governance Framework
  • Define stewardship roles, policies, and ownership
  • Establish data standards, versioning, and audit procedures

• Metadata & Cataloging
  • Develop a searchable enterprise data catalog
  • Align naming conventions and descriptions for discoverability

🧱 Data Modeling & Connectivity

• Utility-Specific Data Models
  • Electric Connectivity Model
  • Gas Network & Pressure Model
  • Water Distribution & Stormwater Models
  • Wastewater Gravity Network Model
  • Pipeline Integrity Data Model (PODS)

• Schema Optimization & Normalization
  • Align schema across GIS, EAM, and CIS platforms
  • Configure system-specific data views for integration

🔄 Data Migration & Conversion Services

• Platform Migrations
  • ESRI to Utility Network (UN) Model
  • GE Smallworld to ArcGIS
  • AutoCAD to ArcGIS conversion automation
  • PODS and legacy pipeline model migrations

• Versioning Strategy & Process Automation
  • Support for both Traditional and Branch Versioning models
  • Define versioning policies for editing, reconciliation, and posting
  • Automate QA workflows during version lifecycle transitions (validate edits, detect conflicts)
  • Integration of version management with Maximo or other EAM systems

• Tooling & Automation
  • FME Workbenches for spatial data transformation
  • Conflation automation: Align Features Topologically, Transform, and Edgematch routines
  • Work order posting automation and backlog reduction

• Validation Frameworks
  • Automated routines to validate geometry, attributes, and topology pre- and post-migration
  • Reconciliation verification and QA tracking per version
  • Full audit logging for change detection across source and target versions

✅ Data Quality & Validation

• Quality Engineering Strategy
  • Define QA KPIs and acceptance criteria
  • Source-to-target mapping and validation
  • System of Record (SOR) checks and discrepancy reporting

• Validation Workflows
  • Automate QA tasks across GIS, EAM, and ADMS
  • End-to-end testing from ingestion to UI display

🧪 Dress Rehearsal & Testing

• Pre-Go-Live Simulations
  • Plan data loading, backups, runbooks, and resource allocations
  • Execute smoke tests for core GIS, EAM, and ADMS functionality

🕒 Cutover Planning & Post-Go-Live Support

• Cutover Execution
  • Develop integrated cutover plan with rollback options
  • Coordinate scheduling and task assignments
  • Perform go-live validation and reconciliation

• Post-Cutover Stabilization
  • Implement steady-state data quality checks
  • Define MDM and change management workflows

📊 Additional Services

• Master Data Management (MDM)
  • Manage lifecycle of Assets, Locations, CUs, and Customers
  • Integration of MDM with Maximo, SAP, and GIS

• Data Integration
  • REST API-based synchronization between systems
  • Near real-time and batch interfaces for reporting and operations

• Analytics & Reporting Readiness
  • Structure data for Power BI, ArcGIS Dashboards, or enterprise analytics
  • Enable predictive insights for asset lifecycle and field operations
  
  
  📦 Deliverables

Clients working with GridOps360 can expect clear, actionable, and quality-driven deliverables throughout the data lifecycle:

• Data Assessment Report
  • Gap analysis (data, process, workflow)
  • Current vs. target state architecture
  • Recommendations for data remediation and model alignment

• Data Governance Framework
  • Roles and responsibilities matrix (RACI)
  • Policy documentation and data standards
  • Data stewardship and change control procedures

• Connectivity Model Design Package
  • Electric, Gas, Water network data models
  • PODS schema alignment and documentation
  • GIS-to-EAM model mapping and normalization

• Migration Plan & Conversion Scripts
  • Source-to-target field mapping spreadsheets
  • AutoCAD-to-GIS automation scripts
  • FME workbenches and ETL routines
  • ESRI Versioning strategy and Branch version automation

• Quality Assurance & Validation Matrix
  • Defined QA KPIs and data validation rules
  • System of Record (SOR) validation templates
  • Pre/post-migration audit reports
  • QA dashboards and issue tracking

• Cutover & Dress Rehearsal Execution Plan
  • Runbooks, rollback procedures, smoke test outcomes
  • Environment readiness checklists and restore points
  • Go-Live validation signoff

• Steady-State Data Maintenance Strategy
  • MDM workflows
  • Ongoing QA governance schedule
  • Integration testing templates and reconciliation logic