Power BI Consulting Company for Data Solutions | Solvios

Power BI Consulting Company for Data Solutions | Solvios | Solvios Technology

End-to-End Power BI Consulting Services From Data Model to Decision Layer

Whether you're building your first executive dashboard, replacing a legacy BI system, scaling Power BI across your enterprise, or adding AI-driven analytics, our Power BI consulting services cover every layer of modern business intelligence. From strategy and architecture to data modelling, report development, governance, and AI integration, our experts turn your data into a strategic business asset.

Power BI Strategy & Assessment

Most Power BI projects don't fail because of technology, they fail due to poor planning. We begin with a comprehensive assessment of your analytics environment, stakeholder needs, and data quality to uncover the highest-impact opportunities. The result is a practical Power BI roadmap focused on measurable business outcomes, not generic recommendations.

Custom Power BI Dashboard Development

A great Power BI dashboard does more than display data, it drives better decisions. We build custom dashboards that answer critical business questions, deliver fast performance, refresh reliably, and provide intuitive insights executives can act on without technical support.

Power BI Data Modelling & DAX Development

Power BI dashboards are only as strong as the data model behind them. We build scalable star-schema models, optimize DAX measures for performance, and design flexible architectures that adapt to evolving business needs. Our Power BI developers treat data modelling as engineering, ensuring accuracy, speed, and long-term maintainability.

Power BI Embedded Analytics

Keep analytics inside your product with Power BI Embedded. We integrate secure, tenant-aware dashboards into SaaS applications, web platforms, and enterprise portals using Row-Level Security and the Power BI REST API, delivering seamless performance and cost-efficient licensing.

Microsoft Fabric & Power BI Integration

Microsoft Fabric unifies your data ecosystem with Power BI at its core. We design and implement Fabric architectures using OneLake, Lakehouses, Data Warehouses, Dataflows Gen2, and Real-Time Analytics to create a governed, scalable data platform with a single source of truth for every Power BI report.

Power BI Migration & Modernisation

Modernize your legacy BI environment with a seamless migration to Power BI. We migrate from SSRS, Crystal Reports, Tableau, Qlik, and outdated Power BI deployments while preserving report accuracy, business logic, and critical insights. The result is a modern, governed analytics platform built for long-term scalability.

Not Power BI with AI Sprinkled On. AI-Native Analytics.

Most Power BI implementations stop at connected data and a refresh schedule. We go further. Every layer below uses AI and automation to surface insights proactively, predict what your data is about to tell you and make analytics a first-class strategic capability, not a reporting utility.

Smart Narratives and anomaly alerts that find the story before you have to

Power BI's AI visuals, Azure Cognitive Services integration and custom ML model embedding surface the insights that matter before a stakeholder has to ask for them.

Highlights:

Smart Narratives integration
Anomaly detection alerts
AI-driven Q\&A models

Smart Narratives and anomaly alerts that find the story before you have to

Power BI's AI visuals, Azure Cognitive Services integration and custom ML model embedding surface the insights that matter before a stakeholder has to ask for them.

Highlights:

Smart Narratives integration
Anomaly detection alerts
AI-driven Q\&A models

Power BI Capabilities We Deliver Across Every Layer of the Analytics Stack

Power BI consulting isn't one capability. It's a category that spans data modelling, report engineering, embedded analytics, governance, AI integration and the platform architecture that connects all of it to the sources your business actually runs on. Here are the Power BI capabilities we deliver and the engineering bar we hold ourselves to on each one.

Data Modelling & Semantic Layer

Star-schema models in Power BI Desktop and Tabular, Direct Lake mode for Microsoft Fabric Lakehouses, composite models for hybrid import and DirectQuery, calculation groups for time intelligence at scale, field parameters for self-service report flexibility and the model architecture that stays performant as data volumes and report complexity grow.

DAX Engineering

Measure design patterns for clarity and reuse, time intelligence across fiscal and non-standard calendars, semi-additive measures for balance and headcount data, dynamic segmentation, cohort analysis, RFM scoring and the advanced DAX patterns that turn a basic report into an analytics tool business leaders come back to every day.

Power Query & Data Transformation

M language transformations for complex source data, Dataflows Gen2 for reusable transformation logic shared across datasets, incremental refresh configured for large tables, data profiling for quality validation and the kind of Power Query engineering that handles messy, real-world source data without breaking on the first schema change.

Report Design & UX

Page-level, report-level and visual-level design patterns that follow Microsoft's report layout principles without becoming template clones. Accessible colour choices, consistent visual language, mobile-optimised layouts, bookmark and drill-through navigation and the kind of dashboard UX that makes a new stakeholder productive in minutes, not after a training session.

Power BI Embedded & API Integration

Embed API, Power BI REST API, service principal authentication, row-level security for multi-tenant deployments, workspace collection management and the integration patterns that make Power BI analytics a native surface in your product, not a hyperlink to an external portal.

Microsoft Fabric Architecture

OneLake design, Lakehouse and Data Warehouse patterns, Dataflows Gen2 pipelines, KQL databases for real-time analytics, Shortcuts for cross-workspace data access, Direct Lake datasets and the end-to-end Fabric architecture that replaces fragmented tool chains with a unified, governed data estate.

Power BI Governance & Security

Workspace governance frameworks, deployment pipelines for dev-test-prod promotion, dataset certification and endorsement workflows, row-level and object-level security architectures, sensitivity labels aligned to Microsoft Purview, tenant-level settings and the Centre of Excellence operating model that prevents Power BI sprawl from undoing the governance investment.

Power BI Performance Optimisation

Query folding audit and remediation, storage mode optimisation, aggregations for large-volume DirectQuery models, DAX query plan analysis with DAX Studio, Vertipaq Analyser reviews for model size reduction, report-level performance profiling and the systematic tuning that turns a slow dashboard into one that loads in under two seconds on real data.

Our Power BI Consulting Delivery Process

Most Power BI projects don't fail technically. They fail because the requirements never captured what decisions the dashboard was supposed to support, the data model was never stress-tested against real business logic or the governance layer was never built. Our Power BI consulting services follow a structured, AI-assisted delivery methodology designed to surface those problems early, when they're still cheap to fix.

Here's exactly how it works.

Discovery & Analytics Assessment

We audit your existing data estate, analytics tools, reporting workflows, stakeholder decision flows and source data reliability to define the right Power BI strategy.

Stakeholder interviewsData source auditExisting report inventoryDecision flow mappingAnalytics gap analysis

Architecture & Data Model Design

We design the target Power BI architecture, data model structure, semantic layer strategy, source system integration approach and governance framework before any development begins.

Reference architectureData model blueprintSource connectivity strategySecurity designGovernance framework

Data Pipeline & Model Build

We build the Power Query transformation layer, semantic data model, DAX measure library and incremental refresh configuration in phased sprints with stakeholder validation at each step. No big-bang delivery.

Power Query pipelines liveStar-schema model validatedCore DAX library deliveredPerformance baseline establishedSecurity roles tested

Report & Dashboard Development

We build the report layer on top of the validated data model with UX-first design, consistent visual language, drill-through navigation, bookmarks and mobile layout applied where the distribution model demands it.

Report designs validatedStakeholder UAT sessionsAccessibility checksMobile layoutsPerformance profiling

Deployment & Governance Setup

We deploy through Power BI deployment pipelines, configure workspace governance, apply dataset certification, set sensitivity labels, establish the usage analytics practice and hand over the operating model documentation your team needs to run the platform without us.

Deployment pipelines liveGovernance model activeSecurity validated in productionUsage analytics configuredAdmin documentation delivered

Optimisation & Continuous Improvement

We monitor report performance, review usage analytics to surface adoption patterns, execute quarterly model reviews and ship the improvements that keep your Power BI environment healthy as data volumes grow and business requirements evolve.

Quarterly model reviewsPerformance optimisationAdoption reportingFeature enhancementsRoadmap planning

Industries We Deliver Power BI Consulting Services For

Analytics challenges look different across industries. The compliance posture, the data sensitivity, the decision cadence and the operational rhythm all change what a Power BI deployment actually needs to look like to drive outcomes. These are the verticals where we've delivered enterprise Power BI solutions in production and know what the data really looks like.

HIPAA-compliant Power BI deployments, PHI-aware row-level security, clinical KPI models that track outcomes not just activity, patient flow analytics, FHIR-connected datasets and the audit-ready governance posture that healthcare data environments demand. We've shipped Power BI in regulated clinical settings. We know what compliance looks like in a live environment, not just in a Microsoft whitepaper.

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Frequently Asked Questions

Honest answers to the questions every data leader, CTO, head of analytics and CFO asks before they hire a Power BI consulting company. If something isn't covered here, our solution architects will walk you through it on a discovery call, no sales pitch, no fluff.

Look beyond the portfolio of pretty dashboards. The right Power BI consulting company asks more questions than it answers in the first conversation, about your data sources, your stakeholder decision flows, your current reporting pain points and what a wrong number in a dashboard would actually cost your business. Evaluate on data modelling depth, DAX engineering quality and whether they push back constructively when a reporting requirement doesn't make analytical sense. Anyone who starts designing visuals before they've understood your data architecture isn't the right partner.

End-to-end Power BI consulting services cover analytics strategy and assessment, data modelling and DAX development, Power Query and data transformation engineering, report and dashboard design, Power BI Embedded integration, Microsoft Fabric architecture, governance and Centre of Excellence setup, performance optimisation, migration from legacy BI platforms and ongoing managed analytics operations. The best engagements also include a data source audit and stakeholder decision mapping before any model work begins.

A focused Power BI engagement, a dashboard build or a data model migration: $15,000 to $60,000. A mid-complexity Power BI programme across multiple departments or data sources: $60,000 to $200,000. An enterprise Power BI platform with Microsoft Fabric integration, embedded analytics and Centre of Excellence governance: $200,000 to $750,000+. Ongoing managed analytics operations typically run $5,000 to $30,000 per month. We provide detailed estimates after a proper discovery. We won't quote a number before we can stand behind it.

A focused dashboard build: 3-6 weeks. A mid-complexity data model and report set across multiple business areas: 2-4 months. An enterprise programme with Fabric integration, migration and governance: 6-18 months, delivered in phases. We provide milestone-based timelines in writing before any development begins.

Microsoft Fabric is Microsoft's unified data platform that brings together data engineering, data science, real-time analytics, data warehousing and Power BI under one roof with OneLake as the single storage layer. For Power BI users, Fabric's most immediate impact is Direct Lake mode, which lets Power BI report query data directly from a Lakehouse at import-like speed without copying data into a dataset. Organisations that design for Fabric now avoid expensive re-platforming when it becomes the default.

Power BI Desktop is the free authoring tool where models and reports are built. Power BI Pro is the per-user licence for publishing and consuming reports in the Power BI service. Power BI Premium Per User or Premium capacity unlocks larger dataset limits, paginated reports, deployment pipelines, XMLA endpoint access and advanced AI features. Microsoft Fabric is the full data platform layer that includes Power BI as its reporting surface plus compute for data engineering, data science and real-time analytics. The right licensing model depends on your user count, your data volumes and your governance requirements. We help you land on the right architecture before you commit.

Yes. Our Dedicated Power BI Team model lets you hire dedicated Power BI developers who work exclusively on your analytics environment. Hand-picked from our senior engineering bench, embedded in your sprint cadence and accountable to your roadmap, with AI-assisted delivery built into how they work. You get the depth of a senior in-house analytics team without the recruiting cycle, the overhead or the runway risk of full-time hires.

Power BI Embedded lets you integrate Power BI reports and dashboards directly into your own web applications, SaaS products or enterprise portals, so your users see analytics in context without navigating to a separate BI tool. It uses service principal authentication, Row-Level Security for multi-tenant data isolation and the Power BI REST API for programmatic control. If your product needs to surface data to end customers or internal users in a branded, integrated experience, Embedded is almost certainly the right approach.

Governance at enterprise scale means workspace naming conventions and ownership policies, dataset certification and endorsement workflows, deployment pipelines for promoting content through dev, test and production environments, row-level and object-level security architectures, sensitivity labels aligned to Microsoft Purview, tenant-level admin settings and the usage analytics practice that tells you which reports drive decisions and which are accumulating refresh failures no one noticed. We design Power BI Centre of Excellence frameworks that turn governance from a one-time audit into an ongoing operational discipline.

Yes. We've migrated from SSRS, Crystal Reports, Tableau, Qlik, Looker and legacy Power BI deployments to modern Power BI and Microsoft Fabric architectures. The migration approach covers legacy measure logic mapped and rewritten in DAX, report parity validated before cutover, data source connections modernised and governance controls applied so the new environment starts clean. We phase the migration to keep production reporting running throughout.

Performance optimisation starts with the data model, not the visual. Query folding audit in Power Query, storage mode review, aggregations for large DirectQuery tables, DAX query plan analysis in DAX Studio, Vertipaq Analyser for model size reduction, calculation group efficiency and report-level profiling to identify slow visuals and their causes. Most performance problems in Power BI trace back to model design decisions made early in the project. We address them at the root, not with workarounds.

Power BI natively supports Smart Narratives for AI-generated text summaries, Anomaly Detection for time-series visuals, Q\&A for natural language queries and Decomposition Tree for exploratory analysis. Beyond native features, we integrate Azure Machine Learning models as report visuals, embed Python and R visuals for custom statistical modelling, configure Power BI Copilot for conversational analytics and connect Azure Cognitive Services for text analytics, sentiment and image recognition inside your reports. If your analytics needs to tell users what to do, not just what happened, AI integration is where that capability lives.

Yes. Managed Power BI operations covers dataset refresh monitoring, failure alerting and resolution, gateway maintenance, performance reviews, security audit, usage analytics reporting, stakeholder enablement and quarterly model review sessions. You can hand over the operational load entirely or run it alongside your in-house team. SLAs are defined per engagement and reported monthly.

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