Dataverse Is More Than
Application Storage
As Power Platform solutions expand, weak data architecture becomes increasingly expensive.
Common symptoms include:
- Duplicate tables
- Inconsistent relationships
- Excessive columns
- Security complexity
- Difficult integrations
- Poor ownership models
- Application performance problems
- Data duplicated across solutions
The earlier the data architecture is structured correctly, the easier the surrounding platform becomes to maintain.
Data Modeling
We design:
- Tables
- Relationships
- Choice architecture
- Ownership models
- Business rules
- Referential structures
- Reusable data components
The objective is a model that reflects the business domain rather than the layout of one application.
Security Architecture
Dataverse security can be designed around:
- Business units
- Security roles
- Teams
- Record ownership
- Column-level security
- Application access
- Environment boundaries
Security architecture should reflect how the organization actually operates.
Dataverse for Power Apps
PowerFy designs Dataverse foundations for:
- Canvas Apps
- Model-driven Apps
- Multi-application solutions
- Workflow automation
- Operational reporting
Dataverse for Copilot & Agents
Dataverse is becoming increasingly relevant to Microsoft’s agent strategy.
Microsoft currently describes Dataverse as an enterprise-ready platform for scalable interconnected agents, applications and automations, with investment in agent programmability, APIs and enterprise data activation.
That makes data structure, access control and auditability increasingly important before AI is layered onto operational data.
Integration & Migration
We support:
- SharePoint-to-Dataverse transitions
- Spreadsheet data migration
- Legacy application migration
- API integrations
- Dynamics 365 integration
- External system synchronization