Assess and rationalize
Inventory reports, usage, calculations, data sources, refreshes, security, and dependencies. Classify content to retain, consolidate, redesign, or retire.
Microsoft / Analytics
Give every decision a trusted semantic foundation.
Implement governed Power BI at enterprise scale and modernize reporting from Tableau, Qlik, Cognos, BusinessObjects, SSRS, and legacy BI platforms.
A dashboard migration is successful only when the numbers, access, and user decisions still work.
We inventory the source estate, identify reuse opportunities, and define the target semantic and workspace architecture before rebuilding content. Business logic, security, performance, and adoption are tested alongside the visual experience.
What we deliver
Model and implement
Build reusable semantic models, DAX measures, reports, apps, gateways, row-level security, and Fabric-aware architectures including Direct Lake where appropriate.
Validate and scale
Reconcile results, test filters and security, tune model and query performance, establish deployment pipelines, and enable governed self-service analytics.
An illustrative use case
Move a multi-tool BI estate to Power BI without carrying every legacy decision forward.
Prioritize high-value content, preserve trusted calculations and access rules, consolidate duplicate models, rebuild the user journeys that matter, and retire low-value assets with evidence.
The final design depends on your systems, permissions, licensing, and agreed scope.
A practical starting point
Start with a BI estate assessment and migration pilot.
What you can expect
An estate assessment, modernization roadmap, semantic model design, implemented reports and apps, parity and security results, deployment process, governance guidance, and training.
Architecture & implementation
Treat the semantic model as a product—not a report dependency.
Power BI implementation and migration succeed when business meaning, security, performance, and release management are designed together.
Tenant and workspace operating model
We define ownership, workspace purpose, publishing responsibilities, app audiences, sharing boundaries, gateways, service principals, and development, test, and production separation. The design supports governed enterprise content and intentional self-service. Power BI implementation planning ↗
Semantic model engineering
We define grain, facts, dimensions, relationships, calculation groups, DAX measures, date intelligence, incremental refresh, aggregations, and connectivity mode. Import, DirectQuery, composite, and Direct Lake are evaluated against latency, source behavior, capacity, and security.
Migration factory design
For Tableau, Qlik, Cognos, BusinessObjects, SSRS, or legacy platforms, we inventory usage and dependencies, extract business logic, rationalize duplicated assets, map visuals and interactions, and create repeatable conversion and review patterns. Automation accelerates the work; it does not replace business validation.
Security and validation
We implement and test row-level and object-level security, workspace access, app audiences, and data-source identity. Reconciliation covers totals, subtotals, filters, drill paths, time logic, exports, and representative user roles. Power BI row-level security ↗
Performance engineering
We review model size and cardinality, relationships, DAX query plans, storage-engine behavior, source folding, refresh duration, Direct Lake fallback, and capacity telemetry. Improvements are verified against a repeatable workload rather than a single fast page load.
Release, adoption and ownership
We establish source control where supported, deployment pipelines or API-driven promotion, parameter and connection rules, refresh sequencing, rollback criteria, certification, usage monitoring, training, and a managed improvement backlog.
Frequently asked questions
Clear answers before we begin.
Which BI platforms can SilverSoft help modernize to Power BI?
SilverSoft can assess and modernize reporting from Tableau, Qlik, Cognos, BusinessObjects, SSRS, and other legacy BI platforms. The work includes content rationalization, business-logic extraction, semantic modeling, report rebuilds, security, and parity validation.
Does SilverSoft implement enterprise Power BI governance?
Yes. Scope can include tenant settings, workspaces, apps, semantic model ownership, gateways, security, certification, deployment pipelines, source control, usage monitoring, and governed self-service practices.
Does SilverSoft support Direct Lake?
SilverSoft can assess Direct Lake for Fabric-based semantic models. The design considers source architecture, model behavior, security, capacity, fallback conditions, performance, and operational monitoring rather than assuming Direct Lake is correct for every workload.