Solutions

Dataverse

The data platform underneath everything in Power Platform.

What Dataverse does

Dataverse stores your business data in tables with defined relationships, data types, and constraints. It enforces security at the row and column level. It tracks every change through built-in auditing. It exposes data through a standard REST API and an OData endpoint.

It is not just a database. It includes business logic (rules, calculated columns, rollup fields), workflow triggers, file and image storage, search indexing, and integration with Azure services. For organizations already using Dynamics 365, Dataverse is the same platform. Your CRM and ERP data lives in Dataverse tables.

Where organizations get stuck

Teams create tables and columns ad hoc. Six months later: duplicate tables, inconsistent naming, no relationships, no documentation.

Organizations either lock down too much (blocking app functionality) or too little (exposing sensitive records to the wrong business units).

The same data could serve external portals, mobile apps, and reporting tools through the Dataverse API, but nobody has designed that access.

Multiple environments with overlapping data models. No strategy for which data lives where or how reference data stays synchronized.

How we approach Dataverse projects

Data architecture and modeling

We design the table structure, relationships, data types, and naming conventions before anyone builds an app. We document the model and align it with your business entities. For existing environments, we assess the current model and provide a remediation plan.

Security design

We design the table structure, relationships, data types, and naming conventions before anyone builds an app. We document the model and align it with your business entities. For existing environments, we assess the current model and provide a remediation plan.

API layer design

We define how external systems access Dataverse data. Custom API registration, Web API configuration, authentication through Azure AD, and rate limiting.

ALM integration

Dataverse schema changes deploy through CI/CD pipelines alongside application changes. Schema migrations, seed data, and configuration data all move through the same governed process.

Data migration

When consolidating from other systems (Access databases, Excel files, SharePoint lists, legacy CRM), we design the migration plan, build the transformation logic, validate data quality, and execute in stages.

What you get

  • Documented data architecture with ERDs
  • Configured security model with role definitions
  • API access layer with authentication
  • Migration plan and execution
  • ALM pipeline integration for schema changes
  • Knowledge transfer sessions

Related

Start with an assessment

Our Power Platform Assessment evaluates your current environment, identifies high-value agent opportunities, and gives you a prioritized implementation roadmap.