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Data Analytics
— decisions, not dashboards

Governed analytics that people use — semantic models, executive dashboards, embedded and self-serve BI, and conversational analytics that answer questions in plain language from trusted data.

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Data Analytics Data Analytics
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Topics we cover
Data analyticsBusiness intelligencePower BISemantic layer / semantic modelMetrics layerExecutive dashboardsSelf-serve analyticsEmbedded analyticsConversational analyticsNatural language to SQLCopilot in Power BIReal-time analyticsDirect LakeKPI standardisationDecision intelligenceAnalytics adoption
Status quo · late 2026

What has changed — and why it matters now

01

Conversational BI arrived

Copilots answer questions over governed semantic models. The prerequisite is a trusted metrics layer — otherwise the AI confidently reports the wrong number.

02

Semantic layer is strategic

One definition of revenue, churn and margin across dashboards, AI and APIs is the difference between insight and argument.

03

Real-time by default

Direct Lake and streaming analytics remove the refresh window for operational decisions.

How we approach it

Our method for Data Analytics

01Decision mappingWhich decisions, by whom, how often — and what metric moves them.
02Semantic modelGoverned metrics, dimensions, row-level security, certified datasets.
03DesignExecutive, operational and embedded experiences designed for use, not decoration.
04EnableSelf-serve guardrails, training, adoption metrics.
05EvolveUsage insights, deprecation, performance tuning, cost control.
In depth

What we deliver

Power BI environments

Workspaces, deployment pipelines, governance, capacity planning.

Executive dashboards

Board and leadership views with drill-through and commentary.

Embedded analytics

Analytics inside your products and portals.

Self-serve

Certified datasets, templates, office hours.

Conversational analytics

Copilot and LLM-based Q&A over the semantic model with citations.

What you get

Deliverables

Power BI environmentsExecutive dashboardsEmbedded analyticsSelf-serve modelsMetrics standardisationUsage insights
Technology-agnostic

Platforms we work across

We design for the outcome first and choose the platform second — across Microsoft, AWS and Google Cloud, and every major AI provider.

Microsoft Power BI & FabricDatabricks AI/BISnowflakeLooker / BigQueryAmazon QuickSightTableaudbt Semantic Layer
Related

More Data services

Data Lake Architecture Data Engineering Data Science Data Governance Data Mesh, Fabric & API Access

Ready to talk about Data Analytics?

One email reaches the architects and engineers who will do the work. We reply within one working day.

info@uspc.co.uk Contact page