SSAS to Power BI migration
Migrate Analysis Services models to Power BI
without starting from scratch.
SemanticOps lets AI agents accelerate SSAS-to-Power BI migration by inspecting source models, generating semantic model structure, and validating the output — with impact analysis, regression tests, and rollback at every stage.
The problem
Why SSAS migrations take longer than they should
Migrating a SQL Server Analysis Services or Azure Analysis Services model to Power BI is not a lift-and-shift. It is a rebuild — and without tooling, that rebuild is slow, undocumented, and hard to validate.
Manual measure-by-measure rebuild
SSAS tabular models can contain hundreds of measures. Rebuilding them in Power BI by hand is time-consuming, error-prone, and impossible to validate at scale.
No automated validation of migrated logic
After rebuilding a measure, there is no systematic way to confirm it produces the same results as the source SSAS version. Teams ship and hope.
Documentation is lost in the migration
Annotations, descriptions, and business context embedded in SSAS models rarely survive the move. The new model arrives as an undocumented black box.
RLS rules need full re-validation
Row-level security roles do not map directly between SSAS and Power BI. Each role needs to be recreated and tested — often manually.
Consultants deliver with no proof of correctness
Migration projects often close with no test evidence, no audit trail, and no rollback plan if something behaves differently after go-live.
The workflow
What AI-assisted SSAS migration looks like
SemanticOps gives AI agents governed, auditable access to inspect source models and generate Power BI equivalents — while keeping humans in control of what gets applied.
Inspect the SSAS model structure
AI agent reads table definitions, measure logic, relationships, KPIs, and role definitions from the source Analysis Services model.
Generate Power BI semantic model skeleton
Agent proposes tables, measures, relationships, and role equivalents for the Power BI target model.
Policy engine governs auto-creation
Governance rules define which operations are auto-applied vs. queued for review — no unbounded agent writes.
Impact analysis surfaces cross-object dependencies
Before changing any measure or relationship, impact analysis traces what else depends on it in the new model.
Regression test suite built alongside migration
Expected-value tests are created for each migrated measure so correctness can be validated incrementally.
RLS / OLS roles validated after creation
Row-level and object-level security roles are tested against expected user perspectives before the model goes live.
Documentation export for handover
The migrated model structure is exported to human-readable documentation — tables, measures, relationships, annotations.
Rollback available at every phase
Snapshots are taken before each migration phase. If a step produces errors, the previous state is recoverable.
Capabilities used
SemanticOps features that accelerate migration
Model inspection
Read and interpret SSAS/AAS tabular model structure — tables, measures, KPIs, roles, relationships.
AI-assisted generation
Generate Power BI semantic model equivalents from inspected source structure under policy governance.
Impact analysis
Trace measure and relationship dependencies before any change is applied to the target model.
Regression testing
Validate that migrated measures produce expected results against the same data, incrementally.
RLS / OLS validation
Test role-based security behavior in the new model before go-live.
Documentation export
Export the migrated model structure as a handover artifact for clients, governance, and AI context.
For consultants
SSAS migration is a high-value consulting offer. SemanticOps turns it into a provable, evidence-backed deliverable.
Clients expect migrations to deliver correct results. Most consultants deliver a working model and hope. SemanticOps lets you deliver a migration with a regression test suite, an audit trail, RLS validation evidence, and exported documentation — all generated alongside the migration itself.
Regression tests validate each migrated measure
RLS validation documents security behavior
Audit log proves what was created, when, and by whom
Documentation export is a ready-made client deliverable
Rollback protects each migration phase
Plan your SSAS to Power BI migration.
SemanticOps gives AI agents governed access to inspect, rebuild, and validate Analysis Services models during migration — with rollback, tests, and documentation at every step.