Organisations building trusted management reporting
Create shared semantic models, measures, dimensions, reports, dashboards, apps, subscriptions, permissions, and decision workflows.
Power BI semantic models, DAX, reports, dashboards, Fabric integration, Direct Lake, gateways, security, deployment, governance, and operations
Power BI development and governance services
Rokad designs, builds, migrates, governs, and operates Power BI semantic models, reports, apps, gateways, security, deployment pipelines, and analytical workflows.
Platform fit / 01
Designed for teams with a specific platform requirement.
Power BI delivers governed analysis when semantic models, measures, relationships, security, refresh, Direct Lake or query modes, workspaces, reports, apps, deployment, lineage, capacity, and ownership are designed together. Rokad engineers that complete lifecycle across Power BI and Microsoft Fabric environments.
Enterprises consolidating uncontrolled Power BI estates
Rationalise workspaces, datasets, semantic models, duplicate measures, reports, gateways, refresh, licences, capacities, and access.
Microsoft Fabric teams implementing end-to-end analytics
Connect OneLake, lakehouses, warehouses, Direct Lake, semantic models, reports, deployment pipelines, governance, and capacity operations.
Implementation risks / 02
The platform problems Rokad is prepared to solve.
Reports calculate the same metric differently
Measures, filters, calendars, currency, status, relationships, and business rules are duplicated across files and models.
Semantic models are not treated as production assets
DAX, relationships, refresh, security, metadata, performance, deployment, compatibility, and ownership lack controlled lifecycle practices.
Capacity and refresh failures affect users unpredictably
Queries, Direct Lake, imports, gateways, dataflows, background operations, concurrency, memory, and workload placement are not governed.
Platform capabilities / 03
What Rokad can implement and operate.
01
Power BI tenant, workspace, capacity, licence, semantic model, report, gateway, role, usage, migration, and governance assessment
02
Star schemas, relationships, calculation groups, DAX measures, dimensions, hierarchies, metadata, perspectives, and semantic contracts
03
Import, DirectQuery, composite, Direct Lake, aggregation, incremental refresh, partition, model-size, and performance architecture
04
Reports, dashboards, drill, tooltips, bookmarks, navigation, mobile layouts, accessibility, subscriptions, alerts, and apps
05
Row-level and object-level security, Microsoft Entra groups, workspace roles, sharing, sensitivity, audit, external access, and governance
06
Gateways, dataflows, Fabric, Azure, SQL, APIs, files, cloud applications, refresh, credentials, and enterprise integration
07
Git and source workflows where supported, deployment pipelines, environments, testing, monitoring, capacity, support, and managed BI operation
Implementation system / 04
The architecture behind a dependable platform delivery.
Power BI semantic layer
Business entities, star schemas, relationships, measures, calculation groups, time, currency, security, metadata, and ownership.
Report and app experience
Visual design, navigation, drill, filters, tooltips, accessibility, mobile, subscriptions, alerts, apps, and user guidance.
Data and refresh system
Sources, gateways, dataflows, Fabric, import, DirectQuery, Direct Lake, refresh, incremental processing, credentials, and failure recovery.
Power BI operations
Tenants, workspaces, capacities, deployments, access, usage, refresh, performance, incidents, cost, adoption, and lifecycle.
Use cases / 05
Where this platform creates practical leverage.
Executive and operational reporting platform
Deliver governed financial, sales, customer, product, service, workforce, operational, and strategic reporting from shared definitions.
Power BI semantic-model programme
Consolidate duplicate datasets and measures into reusable models with security, documentation, testing, performance, and ownership.
Power BI and Fabric implementation
Connect lakehouse or warehouse data through Direct Lake or other suitable modes into semantic models, reports, apps, and governance.
Power BI estate modernisation
Inventory assets, remove duplication, improve models and DAX, rationalise workspaces, secure access, stabilise refresh, and manage capacity.
Architecture / 06
Platform-specific engineering decisions and boundaries.
Reusable semantic models precede report proliferation
Centralise entities, relationships, measures, calendars, security, metadata, and performance logic for governed reuse.
Connectivity mode follows workload evidence
Select import, DirectQuery, composite, Direct Lake, aggregations, or hybrid approaches from freshness, scale, security, latency, capacity, and source behaviour.
Workspace and deployment boundaries are explicit
Separate teams, domains, environments, applications, access, support, capacity, promotion, and lifecycle according to ownership.
Quality and governance / 07
Production controls are part of the implementation.
One governed metric definition
Business entities, dimensions, measures, time logic, filters, currency, ownership, and semantic contracts are defined once and tested.
Versioned analytical delivery
Models, reports, dashboards, permissions, data sources, environments, tests, deployment, and rollback follow controlled lifecycle practices.
Usable and trustworthy analysis
Freshness, performance, accessibility, row-level security, lineage, documentation, adoption, and decision workflows are measured.
Delivery / 08
A controlled path from assessment to operation.
Assess
Clarify the business outcome, current systems, platform constraints, data, integrations, risks, ownership, and measurable acceptance criteria.
Design
Define the platform architecture, workflow or storefront model, extensions, integrations, security, environments, and migration sequence.
Implement and validate
Build in controlled increments with testing, stakeholder review, observability, documentation, and platform-specific quality controls.
Launch and operate
Deploy safely, transfer ownership, monitor production behaviour, support users, and improve the implementation using operational evidence.
Typical platform deliverables
Power BI tenant, workspace, capacity, model, report, gateway, security, usage, cost, and risk assessment
Semantic, report, data, gateway, workspace, deployment, governance, and operating architecture
Production semantic models, DAX, reports, dashboards, apps, dataflows, gateways, and integrations
Row and object security, Entra groups, sensitivity, sharing, audit, and access controls
Refresh, testing, deployment, performance, monitoring, capacity, incident, and cost controls
Analyst, BI developer, administrator, governance, operator, and handover documentation
Engagement models / 09
Use the delivery structure that matches the platform work.
Assessment and roadmap
A bounded review of the current platform, requirements, gaps, risks, architecture, and an executable next-stage plan.
Fixed-scope implementation
A defined integration, migration, storefront, application, workflow, or platform outcome with explicit acceptance criteria.
Embedded platform specialists
Specialists working alongside internal product, engineering, operations, marketing, data, or enterprise teams.
Managed platform evolution
Ongoing maintenance, releases, integrations, support, optimisation, governance, and roadmap execution after launch.
Related platforms and services / 10
Compare adjacent platforms or continue into the wider system.
01
Tableau
Visual analytics, published data sources, semantic definitions, dashboards, permissions, deployment, and Server or Cloud operations.
02
Looker
LookML semantic modelling, governed exploration, dashboards, embedding, Git delivery, and Google Cloud integration.
03
Metabase
Open-source or managed self-service analytics, models, metrics, dashboards, embedding, permissions, and operations.
01
Data engineering
Pipelines, platforms, warehouses, analytics engineering, BI, and governed data operations.
02
Cloud and DevOps
Cloud architecture, delivery automation, observability, security, reliability, and platform operation.
03
Managed technology services
Ongoing application, cloud, security, reliability, support, and continuous improvement.
FAQ
Power BI development and governance services
Platform scope, ownership, licences, data, integrations, security, migration, and long-term operation are clarified before delivery.
01Can Rokad consolidate duplicate Power BI semantic models?
Can Rokad consolidate duplicate Power BI semantic models?
Yes. We inventory sources, entities, measures, relationships, security, reports, refresh, performance, users, dependencies, and ownership before controlled consolidation.
02Should Power BI use Import, DirectQuery, or Direct Lake?
Should Power BI use Import, DirectQuery, or Direct Lake?
The choice depends on source, freshness, scale, query patterns, security, capacity, performance, model features, operational complexity, and cost. Mixed models may be suitable.
03Can Rokad improve slow Power BI reports?
Can Rokad improve slow Power BI reports?
Yes. We analyse source queries, model design, relationships, DAX, cardinality, visuals, interactions, connectivity, refresh, capacity, gateway, and user behaviour.
04Can Rokad manage Power BI after launch?
Can Rokad manage Power BI after launch?
Yes. Managed scope can cover refresh, gateways, models, reports, access, workspaces, capacities, performance, incidents, deployment, governance, usage, and new analytics.
Microsoft Power BI · Business intelligence
Build Power BI around reusable semantic models and controlled analytical operations.
Rokad can design the model layer, develop reports and apps, integrate Fabric and sources, secure access, and manage refresh, capacity, and governance.
Contact / 05
Bring us the difficult technology problem.
Tell us what you need to build, improve, procure, deploy, or operate. We will respond with a practical next step.