- Home
- Data & AI Services
- PowerBI & Analytics
Power BI & analytics
Power BI consultancy and analytics services
Konsolute builds Power BI semantic models and reports your teams can trust. We agree KPI definitions with business owners, design clear measures and access rules, and build in refresh, performance and ownership so the reporting stays reliable after launch.
WHAT THIS HELPS YOU ACHIEVE
Reporting people can understand, reuse and act on
Connect business definitions, model design and report experience so the numbers have context and the reporting remains maintainable.
Agree what the measures mean
Define KPI calculations, scope and owners before different teams build conflicting versions.
Reuse a governed model
Separate reusable data and measure logic from individual report pages where the architecture supports it.
Make insight easier to interpret
Design clear navigation, comparisons and drill paths around the decisions users need to make.
Operate the reporting service
Establish access, refresh, deployment and performance responsibilities alongside development.
OUR POWER BI & ANALYTICS SERVICES
Power BI development, semantic modelling and optimisation
Build a priority reporting solution, review an existing model or establish a consistent approach to governed analytics across your organisation.
Analytics discovery & KPI design
Map reporting questions, user groups and business decisions. Agree KPI definitions, calculation rules and comparison periods, with a prioritised reporting backlog and named owners for each measure.
Semantic models & DAX engineering
Design reusable models with clear fact and dimension tables, explicit relationships and consistent measures. Develop DAX that behaves correctly across filters, totals, time comparisons and edge cases.
Power BI report development
Create report pages and dashboards around user tasks, with clear visual hierarchy, filtering and drillthrough. Design accessible interactions and validate the experience with the people who use it.
Data connectivity & refresh
Connect approved data sources and assess Power Query preparation, gateways and refresh. Compare Import, DirectQuery and Direct Lake, weighing performance, freshness, capacity and licensing together.
Security, governance & deployment
Define workspaces, distribution and the access model for authors and consumers. Implement and test row-level security, with ownership, development environments and release practices agreed.
Performance optimisation & support
Investigate slow visuals, model complexity, DAX behaviour and source bottlenecks. Prioritise evidence-based fixes and monitor refresh and usage, with runbooks for failed refreshes and access issues.
CAPABILITIES & DELIVERY SCOPE
The engineering behind useful Power BI reporting
Model structure, calculation semantics, access and operating behaviour all affect what users see. These workstreams connect business requirements to tested analytical assets.
Business definitions & source validation
Translate business questions into definitions that can be checked. Record measure scope, filters, comparison logic and source limits, with business-owner sign-off, and investigate conflicting totals before rebuilding them.
- KPI definitions and calculation scope
- Source evidence and business reconciliation
- Measure ownership and acceptance
Semantic model architecture
Define table grain, facts, dimensions and relationships around how the data is analysed. Assess date tables and cross-filtering, avoid ambiguous relationships and duplication, and document what each shared model provides.
- Grain, fact and dimension design
- Relationships and filtering behaviour
- Reusable models and definitions
DAX measures & calculation behaviour
Implement business calculations with explicit filter context and representative tests. Validate ratios, distinct counts, time comparisons and totals, and document where a total must be recalculated rather than summed.
- Measures and filter context
- Time comparisons and non-additive totals
- Calculation tests and documentation
Report UX & accessibility
Design report structure around decisions, with clear labels, suitable visuals and a predictable route to detail. Include contrast, alternative text and keyboard order, and check layouts for the intended devices and users.
- Navigation, filtering and drillthrough
- Accessible visual and interaction design
- User testing and consumption layouts
Storage mode & refresh architecture
Compare Import, DirectQuery and Fabric Direct Lake against scale, source demand and freshness. Define refresh responsibilities, credentials and gateway needs, and record how the chosen mode affects queries and capacity.
- Storage mode and source assessment
- Refresh dependencies and gateways
- Capacity, licensing and operating assumptions
Model, query & visual performance
Use performance evidence to locate delays in source access, relationships, DAX or report design. Assess model size and costly visual interactions, and validate fixes with realistic filters and concurrent users.
- Model and DAX profiling
- Source and visual bottleneck analysis
- Representative performance validation
Permissions & governed consumption
Define author, administrator and consumer responsibilities, with row-level security or other controls where needed. Test effective access for representative roles and paths; a hidden field is never treated as security.
- Workspace and distribution design
- Security roles and effective-access tests
- Source and model access boundaries
Development lifecycle & operational ownership
Version and promote report and model assets through agreed environments. Define connections, refresh monitoring and release checks, with named owners for definitions, source changes and incidents after go-live.
- Supported versioning and deployment
- Refresh and incident runbooks
- Model, measure and report ownership
TECHNICAL DESIGN DECISIONS
Resolve the decisions that determine trust in the report
A successful reporting solution needs agreed business meaning and validated behaviour, not just attractive visuals.
Definitions before presentation
Agree the metric, grain and filters before choosing a visual. Report differences often come from business rules, source timing or data quality, not formatting.
Reusable logic and consumption
Decide which models and measures should be shared and which needs are genuinely separate. Record ownership so reuse does not create ungoverned dependencies.
Freshness and performance
Choose storage and refresh patterns around the business need and source capability. More frequent refresh is not better if it overloads sources or capacity.
Security across the actual access path
Assess workspace roles, distribution, model security and source access together, and test each audience's effective permissions instead of assuming report-level limits.
OUR APPROACH
How we deliver Power BI and analytics
Six stages take each report from the decisions it supports to agreed KPIs, a reconciled model and a reporting service your team can run.
Discover the decisions
Identify the users, business questions and reporting outcomes the first release must support.
Agree KPIs and sources
Define calculations, ownership, data readiness and acceptance evidence with business representatives.
Design the model and experience
Select grain, relationships, storage, refresh and report journeys, including access requirements.
Develop and reconcile
Implement models, measures and report pages, testing calculations against agreed source evidence.
Validate access and performance
Exercise representative users, filters, refreshes and usage patterns, with failures and limitations documented.
Publish and operate
Release through the agreed process and hand over refresh, governance and support responsibilities.
Define.Model.Report.
WHERE POWER BI CAN HELP
Start with the reporting problem that affects decisions
Common starting points include new analytics requirements and the improvement of an established Power BI estate.
- Replace conflicting spreadsheet metrics with agreed KPI definitions and reusable measures
- Build a semantic model that can support multiple Power BI reports
- Improve reports that are difficult to navigate or interpret
- Investigate slow visuals, expensive DAX or unreliable refreshes
- Connect reporting to suitable Fabric, Azure and other approved sources
- Review sharing, role-based access, deployment and reporting ownership
WHAT WE DELIVER
Analytical assets with definitions and operating evidence
The scope defines the models, reports and operational configuration to be delivered, with clear acceptance and handover requirements.
Definitions and model design
KPI records, source mappings, model grain, relationships and design decisions.
Semantic models and reporting
The agreed models, DAX measures, report assets and supported deployment configuration.
Validation evidence
Business reconciliation, calculation checks, access tests and representative performance results.
Governance and handover
Refresh configuration, documentation, ownership and runbooks for incidents and future changes.
FAQ
Power BI FAQs
Models, KPIs, storage modes, security, performance and licensing.
We can assess requirements, design semantic models, develop DAX measures and reports, configure refresh and access, and improve existing solutions. The engagement defines the reporting outcomes, implementation scope and validation evidence rather than assume every project requires a new platform.
Yes. We can review model structure, relationships, measures, source preparation and report behaviour. Findings identify whether the issue sits in the source, calculations, refresh or experience, with improvements prioritised around business impact and effort.
It is a governed analytical model containing agreed relationships, measures and other relevant metadata that can support appropriate reporting consumers. Reuse needs ownership, compatibility and permissions so changes to shared logic do not unexpectedly affect dependent reports.
We compare source records, calculation definitions, filters, grain and update timing with the business owners. Agreed definitions and reconciliation scenarios establish the expected result, with known differences or data limitations documented.
We assess the source, data volume, freshness, capacity and security requirements before selecting a mode. Direct Lake is a Fabric capability with its own prerequisites and behaviour; it is not assumed to replace every Import or DirectQuery design.
We assess supported connectors and interfaces, network access and the data preparation needed for the reporting requirement. Third-party restrictions, credentials, gateway requirements and licensing can affect the design.
We define the required data restrictions and model roles, then test representative users and distribution paths. In the Power BI service, RLS restricts appropriate viewer scenarios; workspace Admin, Member and Contributor roles are not constrained in the same way. Source access is reviewed separately.
We profile the relevant model, DAX, visuals and source interactions, then validate targeted changes. Expected user demand and filters inform testing. Storage or capacity changes are considered alongside model and report improvements rather than treated as the default fix.
We design meaningful labels, visual hierarchy and navigation, with contrast, alternative text and keyboard order considered using supported features. Representative users validate the journeys. Any formal accessibility assessment and its scope are agreed explicitly.
The operating design identifies credentials, gateways, source dependencies and refresh ownership. Monitoring and runbooks help distinguish connection failures, changed schemas and data-quality problems, with release and recovery procedures appropriate to the assets.
We assess authoring, sharing, audience, storage mode and any embedding requirements against your current entitlements. Licensing and capacity are checked for the actual scenario rather than assume one licence covers every report consumer and feature.
We can scope model and report maintenance, refresh investigation, performance review and enhancements. Responsibilities for KPI definitions, data quality, access and technical support are agreed, with coverage and escalation documented.
TAKE THE NEXT STEP
Which reporting question needs a clearer answer?
Tell us which metrics are disputed, which reports are hard to use or where performance and refresh are becoming a problem. Konsolute will help define the Power BI modelling, development and operating work needed to make the reporting useful.