Leadership teams requiring consistent performance views
Create shared definitions and decision-ready reporting across revenue, operations, customers, product, finance, and risk.
Dashboards, reporting, semantic models, metrics, self-service, governance, and decision workflows
Business intelligence
Rokad develops business-intelligence systems that connect governed metrics and data models with dashboards, reporting, self-service analysis, and operational decisions.
Designed for / 01
A focused delivery model for the organisations that need it.
Business intelligence succeeds when information is trustworthy, understandable, timely, and connected to action. Rokad designs metric systems, semantic models, dashboards, scheduled reporting, exploratory analysis, alerts, governance, access, and adoption around real decision workflows.
Operational teams replacing manual reporting
Automate recurring analysis, exceptions, alerts, drill-down, and workflow context from governed sources.
Data teams enabling controlled self-service
Provide documented semantic models and access without allowing metric logic to fragment across spreadsheets.
Challenges / 02
The problems this service is built to solve.
Dashboards display numbers without decision context
Users cannot understand definitions, drivers, thresholds, ownership, actions, or uncertainty behind the visualisation.
Different teams report different versions of truth
Filters, timing, statuses, joins, exclusions, and dimensions are recreated independently in every dashboard.
Reporting demand overwhelms the data team
Consumers lack safe models, documentation, reusable metrics, discovery, and skills for controlled self-service.
Capabilities / 03
What Rokad can deliver.
01
Decision, audience, metric, reporting, and adoption discovery
02
Metric definitions, ownership, dimensions, hierarchies, and semantic models
03
Executive, operational, analytical, customer, and embedded dashboards
04
Scheduled reports, alerts, subscriptions, exports, and narrative reporting
05
Drill-down, exploration, self-service, row-level access, and governance
06
Data quality, freshness, lineage, documentation, usage, and trust indicators
07
BI migration, performance, tool evaluation, training, and managed improvement
Platform expertise
Platform-specific implementation services.
01
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.
02
Tableau development and platform services
Rokad designs, develops, migrates, governs, and operates Tableau Cloud and Tableau Server across data sources, dashboards, permissions, deployment, embedding, and analytical workflows.
03
Looker development and modelling services
Rokad designs, builds, migrates, governs, and operates Looker across LookML semantic models, Explores, dashboards, embedding, Git delivery, security, and Google Cloud integration.
04
Metabase development and platform services
Rokad implements, customises, embeds, governs, and operates Metabase Cloud and self-hosted analytics across models, metrics, dashboards, permissions, and applications.
Solution components / 04
The system behind the visible product.
Metric system
Definitions, grain, dimensions, status, time, targets, thresholds, owners, tests, and change control.
Semantic and access layer
Reusable models, relationships, permissions, row security, calculations, documentation, and query behaviour.
Decision experience
Dashboards, reports, alerts, annotations, drill-down, comparisons, explanations, and workflow actions.
BI operations
Freshness, failures, performance, usage, content lifecycle, ownership, training, support, and governance.
Use cases / 05
Where this capability creates practical leverage.
Executive performance system
Connect strategic objectives with governed financial, customer, operational, product, and risk indicators.
Operational command dashboards
Surface workload, exceptions, service levels, delays, quality, capacity, and actions for daily operations.
Customer and product analytics
Understand acquisition, journeys, usage, conversion, retention, revenue, support, and segment behaviour.
Embedded analytics
Provide authorised customers or partners with contextual dashboards and reports inside a product or portal.
Architecture and integration / 06
Designed to fit the wider technology environment.
Semantic logic outside visualisations
Centralise important definitions and relationships so dashboards consume governed meaning instead of recreating it.
Progressive disclosure
Begin with decision-level signals and allow users to drill into drivers, segments, records, and evidence without clutter.
Freshness and trust visible to users
Expose update time, quality status, ownership, definitions, caveats, and lineage where decisions depend on them.
Quality and control / 07
Production requirements are part of the build.
Trust through contracts
Ownership, schemas, semantics, freshness, completeness, access, and failure expectations are explicit between producers and consumers.
Tested transformation
Pipelines and models include validation, reconciliation, lineage, observability, and controlled change before decision use.
Governed access
Identity, classification, least privilege, retention, masking, audit, and usage boundaries follow the sensitivity of the data.
Delivery / 08
A controlled path from requirement to operation.
Discover
Clarify the objective, users, systems, constraints, dependencies, risks, and measurable acceptance criteria.
Architect
Define the target design, interfaces, controls, migration or delivery sequence, and operating model.
Deliver and validate
Implement in controlled increments with testing, review, documentation, observability, and stakeholder validation.
Operate and improve
Establish ownership, service controls, measurement, support, and a prioritised improvement backlog.
Typical deliverables
Decision, audience, metric, dashboard, and BI estate assessment
Metric catalogue, semantic model, access, and governance design
Production dashboards, reports, alerts, and embedded analytics
Row-level security, calculations, documentation, and self-service models
Freshness, quality, performance, usage, and content-lifecycle controls
Training, support, ownership, governance, and handover documentation
Engagement models / 09
Use the delivery structure that matches the work.
Assessment and roadmap
A bounded evidence review, target direction, prioritised risks, and executable next-stage plan.
Fixed-scope delivery
A defined implementation, migration, prototype, procurement, or transformation outcome with acceptance criteria.
Embedded specialists
Specialists working alongside internal product, engineering, data, operations, security, or procurement teams.
Managed lifecycle
Ongoing ownership, maintenance, monitoring, supplier coordination, reliability, security, and improvement.
Related capabilities / 10
Continue through the wider product and technology system.
01
Analytics engineering
Create the tested semantic and metric foundations behind BI.
02
Data warehousing
Provide governed historical models and analytical performance.
03
Data platforms
Operate the shared access, quality, catalogue, and data-serving foundation.
01
Technology consulting and research
Strategy, architecture, discovery, due diligence, feasibility, and market intelligence.
02
Software development
Custom applications, platforms, integrations, APIs, and software modernisation.
03
Managed technology services
Application, cloud, security, reliability, maintenance, and continuous engineering operations.
FAQ
Business intelligence
Scope, ownership, assumptions, delivery, security, and long-term operation are clarified before work begins.
01Can Rokad work with our existing BI tool?
Can Rokad work with our existing BI tool?
Yes. We can improve Power BI, Tableau, Looker, Metabase, Superset, cloud-native tools, or other supported platforms before recommending replacement.
02How do you stop dashboard sprawl?
How do you stop dashboard sprawl?
We introduce ownership, semantic reuse, certification, naming, collections, lifecycle, usage review, archival, templates, and a controlled request process.
03Can users analyse data themselves?
Can users analyse data themselves?
Yes. We provide documented models, governed dimensions and metrics, appropriate access, examples, training, and usage monitoring rather than unrestricted raw-table access.
04Can BI be embedded into our software product?
Can BI be embedded into our software product?
Yes. We can use native embedding, APIs, custom visualisations, semantic services, tenant controls, row security, caching, and product-specific interfaces.
Data engineering
Turn dashboards into a trusted decision system.
Rokad can define the metrics, build the semantic foundation, deliver the experience, and establish BI governance and adoption.
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.