From dashboards to decisions you can defend
We design reporting and semantic models on Power BI and Microsoft Fabric, so leaders and analysts work from the same trusted metrics, not competing spreadsheets.
Explore capabilitiesAnalytics that connects insight to action
Modern BI is more than charts. It is governed metrics, fast refresh, and self-service that scales. We work alongside your team to deliver dashboards and models that match how your business actually decides.
When teams cannot find or trust data
Decisions slow down: an average of 11.6 hours per week is lost searching for answers, and most teams still operate in silos.
Industry research
Software applications in large organisations
29% of work week
Per week wasted searching for data
Of teams operate in silos
Source: Forrester Consulting "Crisis of a fractured organization" study of 1,022 U.S. and U.K. workers, 2024
Explore our BI and analytics services
Select a capability to see how we deliver on Microsoft Power BI and Fabric.
Design executive and operational dashboards that surface the right KPIs, with clear drill paths, refresh SLAs, and layouts built for how your teams actually review performance.
What we do
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Requirements and KPI design
Facilitate workshops with business owners to define metrics, dimensions, and review cadences before a single visual is built.
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Report and dashboard build
Implement in Power BI with consistent themes, accessibility, and performance tuning for large datasets.
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Publication and adoption
Deploy to workspaces with governed access, usage monitoring, and enablement so reports become part of the operating rhythm.
Build curated semantic models that encode business logic once, so every report and self-service exploration uses the same definitions for revenue, margin, and operational metrics.
What we do
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Model architecture
Design star schemas and relationships on Fabric or Power BI datasets, aligned to your warehouse and security model.
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DAX and business logic
Implement measures, calculation groups, and time intelligence with documentation your analysts can extend safely.
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Performance and certification
Optimise storage mode, aggregations, and refresh, then certify datasets for organisation-wide reuse.
Enable analysts and domain owners to explore data within guardrails: workspaces, endorsed datasets, and training so self-service grows without eroding trust.
What we do
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Self-service operating model
Define who can publish, how datasets are endorsed, and when IT partners on complex models.
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Template and starter content
Provide approved starting reports and patterns so teams do not rebuild logic from scratch.
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Coaching and governance
Run office hours and review cycles so new content meets quality and security standards.
Built on Microsoft
We implement on the platforms your organisation already trusts.
BI delivery that stays tied to decisions
Every analytics engagement connects metric design, model governance and report adoption, so dashboards become part of the operating rhythm.
Always together
We work with metric owners, analysts and decision-makers before visuals are built, so definitions are agreed in the room rather than debated after launch.
Think big, start small
We start with the decision cycle that matters most, then extend the semantic model and report set once the first users trust the numbers.
Build modular
Shared semantic models, reusable report patterns and governed workspaces keep new analytics work consistent without slowing teams down.
Common questions about BI and analytics
What leaders and analysts ask before investing in Power BI and semantic models.
Can you improve existing Power BI reports?
Yes. We review metrics, optimise semantic models, redesign reports for clarity and performance, and support adoption so dashboards become part of how teams actually decide.
How do you balance self-service and governance?
Teams turn to self-service BI for faster answers, more autonomy and fewer queues waiting on IT. That trade-off only works when the organisation also commits to data controls: a governance basis, review processes and enough maturity for several producers to collaborate without drift.
When many teams share responsibility for their own data products, like in a data mesh architecture, the bar is higher, but the principle is the same everywhere: shared standards, frequent technical reviews and honest gap analysis. We assess maturity through stakeholder workshops and workspace reviews: who can publish, what is endorsed today, and where metric definitions need alignment. That shapes an operating model we build with you, paced to your team.
We work alongside your team on workspace rules, training and review cycles so self-service expands at a pace everyone can support.
Do we need a data warehouse before Power BI?
Not always. Some teams start with well-modelled Power BI datasets and that is enough for focused reporting today. We will not oversell a warehouse programme, but when data volumes grow or analysis needs to span more of the business, a Fabric lakehouse or warehouse is usually the better foundation. We assess your sources and recommend the lightest path that still gives you metrics you can defend.
What does the free assessment cover for BI?
We review your current reports, semantic models and adoption patterns, then recommend practical next steps. You keep the assessment insights even if you do not proceed, with no obligation to engage booldata.
Let's build your analytics future
Every great decision starts with great data. Tell us where you are today and we'll map the fastest path forward.