Business discovery and KPI definition
Connect report requirements to business decisions, agreed metric definitions and acceptance criteria.
Provider selection guide
Compare providers based on the business decisions, data systems and operating controls your project requires. The right fit depends on the actual team, technical approach, evidence and delivery model—not just a dashboard portfolio.
Discuss Your Power BI RequirementsDefine what your teams need to understand, which data sources are involved and where current reporting falls short. Then evaluate providers against the same requirements.
Power BI consulting companies help organizations plan, build, improve and govern business intelligence solutions using Microsoft Power BI. Depending on the provider and project, services may include strategy, data integration, Power Query, semantic model design, DAX, dashboards, administration, security, deployment, training and support.
Some providers focus on dashboard delivery; others combine Power BI with data engineering, cloud platforms, enterprise warehouses, Microsoft Fabric or managed analytics. The key question is whether a provider's actual capabilities fit the work your organization needs.
These provider profiles can help you shortlist candidates. A company may fit more than one category; evaluate the proposed team and evidence for your particular engagement.
| Provider type | Typical strengths | What to verify |
|---|---|---|
| Specialist Power BI consultancy | Focused Power BI, modeling, DAX and report delivery. | Check depth in enterprise data engineering and broader architecture. |
| Microsoft data and cloud consultancy | Power BI alongside Azure, Fabric, data platforms and integration. | Confirm the specific Power BI team and its delivery capacity. |
| Global systems integrator | Large transformation programs and multi-workstream governance. | Check whether its scale, staffing and commercial model suit your project. |
| Data engineering firm | Pipelines, warehouses, lakehouses and data quality. | Confirm report design, semantic modeling and adoption skills. |
| Staff augmentation provider | Additional developers or analysts for an existing team. | Clarify who owns architecture, quality and delivery management. |
| Managed analytics provider | Ongoing operations, support and enhancements. | Agree service levels, knowledge retention and exit terms. |
Match required capabilities to the project. A dashboard-only engagement may not need the same architecture depth as a multi-source enterprise analytics program.
Connect report requirements to business decisions, agreed metric definitions and acceptance criteria.
Assess source connectivity, Power Query, refresh, transformation and when upstream pipelines are appropriate.
Design facts, dimensions, relationships and measures with clear business logic and validation.
Create audience-focused reports with useful navigation, accessibility and user testing.
Plan least-privilege access, workspace roles, row-level security, ownership and monitoring.
Establish a controlled release process and diagnose performance using baselines and repeatable tests.
Document models, measures, refresh ownership, release procedures and support responsibilities.
Define role-based enablement, internal ownership and any post-launch support arrangements.
Identify decisions and actions the reporting should support, not just a list of charts.
Prepare source systems, reports, models, users, refresh needs, licenses and security constraints.
Prioritize capabilities based on the actual scope and architecture.
Ask for approved, sanitized examples, references and verifiable experience.
Meet the people proposed to do the work and clarify accountability.
Review scope, deliverables, assumptions, acceptance, support and commercial terms.
Define a paid discovery or limited proof with approved data and a clear test.
This is a suggested buyer framework, not an industry benchmark. Adjust weights to the risks and complexity of your project.
| Criterion | Weight | Example evidence |
|---|---|---|
| Business understanding and KPI definition | 15% | Discovery plan, KPI glossary, stakeholder process |
| Power BI modeling and DAX | 15% | Sanitized model, measure examples, validation approach |
| Data integration and engineering | 15% | Source architecture, pipeline examples, data quality controls |
| Security and governance | 15% | Role matrix, RLS test plan, governance standards |
| Report design and usability | 10% | Demonstration, accessibility and user testing approach |
| Performance and scale | 10% | Diagnostic method, baselines and workload testing |
| Deployment and quality assurance | 10% | Environments, testing and release process |
| Documentation, training and support | 5% | Handover, training and support model |
| Commercial clarity and team continuity | 5% | Named team, pricing assumptions, change and exit terms |
The following names are examples from the supplied research, not a ranking, endorsement or verification of credentials. Provider descriptions reflect research about their public positioning; check current services, team, references and claims directly.
The reference research describes its public offering as spanning Power BI and Microsoft data-platform consulting. Verify its current scope, team and credentials directly.
The reference research describes its public offering across data analytics, engineering, migration and enterprise technology consulting. Check for relevant Power BI examples and the proposed delivery team.
The reference research describes an enterprise analytics and Microsoft technology positioning. Verify any claims and the specific capabilities relevant to your engagement.
The reference research describes BI consulting, development, maintenance and training in the French market. Confirm language, location, availability and project fit.
You can also use Microsoft's Power BI partner directory as one due-diligence input. A directory listing or designation does not prove that a particular team is right for a particular engagement.
Agree on named personnel, least-privilege and time-bound access, approved development data, credential handling, access reviews and removal of access at project completion. Follow your organization's security and data-processing policies.
There is no universal consulting price. Compare the named roles, effort, deliverables, assumptions, licenses, capacity, cloud consumption, support and change control—not only the initial build estimate. Common models include fixed-scope projects, time and materials, dedicated specialists, managed support and assessment-first engagements.
Look for relevant Power BI delivery experience, semantic modeling and DAX capability, data integration skills, security and governance knowledge, a clear deployment process, named delivery staff, documentation and references relevant to your project.
Give each provider the same requirements and compare business understanding, data engineering, modeling, DAX, security, report design, performance, deployment, support, team continuity and commercial clarity. Request evidence rather than relying only on marketing claims.
A verified Microsoft partner designation can be one useful due-diligence signal, but does not establish that a provider or its proposed team is the best fit. Verify current status, relevant experience and project references.
Microsoft provides a Power BI partner discovery page. Use it as one research input, then independently evaluate the provider's proposed team and capabilities.
Some do. Confirm the proposed team's relevant experience and whether Fabric is appropriate for your workload. Power BI can also work with existing data platforms.
A provider can investigate DAX, model design, visuals, source queries, Power Query, refresh, gateways and capacity. Ask for a measured baseline and retest instead of an unsupported performance guarantee.
Cost varies with geography, team seniority, scope, data readiness, integration complexity and support requirements. Ask providers to define deliverables, assumptions, exclusions, licenses and change control.
Office Solution AI Labs lists BI Consulting on its public website. Contact the company to confirm the current Power BI service scope, proposed team, availability, experience and commercial terms.
Tell us about your reporting objectives, current data environment and the consulting support you need. Office Solution AI Labs lists BI Consulting among its services; confirm the current scope, team, delivery model and commercial terms directly.
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