Services / Dashboards & Reporting
Operational and executive dashboards built on data your business can defend — with a single source of truth, definitions in writing, and a refresh cadence that matches how decisions are actually made.
Reporting is often the first thing built and the last thing trusted. Numbers vary between teams, definitions live in someone's head, and every board pack starts with a caveat. We build dashboards on top of a defined data layer, with metrics documented, ownership assigned, and refresh cadence set by the decision — not by the tool.
Who is this for?
Teams evaluating dashboards & reporting decisions with urgent manual overhead.
How fast?
Typical first output is a clear decision and implementation sequence, usually within a 1–4 week discovery window.
What will it cost?
A fixed-scope first step is available from our pricing page; discovery scope is defined up front to avoid open-ended work.
What result should I expect?
Reduced manual burden, clearer ownership, and a practical roadmap that makes the next decision easy.
Not a fit if you need a large transformation without any phased first slice.
Dashboards fail as a delivery, not as a technology. The fixes are usually in the data layer beneath them.
Ops, finance, and sales all report on 'revenue' or 'active clients' with different definitions and different totals. Nobody knows which one is right.
Weekly extracts, manual joins, and a spreadsheet later — the pack arrives on Monday describing last Wednesday.
The BI platform was implemented, adoption spiked, and now the leadership team still asks by email for a spreadsheet.
We start with the decisions leadership is trying to make and work back to the metrics that support them. Not the other way around.
A single, documented data model in the warehouse or platform — with metrics defined in one place and reused everywhere.
Power BI, Looker Studio, Metabase, embedded custom UI — chosen for the audience, not for the licence someone already bought.
Real users, real usage tracking, and dashboards that get pruned as often as they get added.
One agreed set of metric definitions, referenced across ops, finance, and the board.
Data available in the surface leadership actually uses — email, Teams, a portal, or a dashboard — refreshed at the cadence the decision needs.
Adoption you can measure, with unused dashboards retired instead of accumulated.
Confidence in the numbers, so the meeting is about the decision rather than about the data.
Board and leadership packs sourced from live data, with narrative context and trend analysis baked in.
Real-time views for the teams running the operation, embedded where they already work.
Revenue, margin, cost, and cash reporting sourced from ERP and CRM with reconciliation built in.
Reports built to defend, with lineage, versioning, and evidence for auditors and regulators.
Analytics embedded inside your own product or portal, so customers and partners see their own performance.
Warehouse, semantic layer, and pipelines — the plumbing beneath every dashboard we build.
Operational overhead and handoff gaps in a high-volume workflow.
A UK operator was rebuilding a 40-page board pack in PowerPoint every month from a stack of spreadsheets. We built a governed data layer, moved the pack to a live dashboard with export-to-PDF, and reduced pack preparation from three days to under an hour — with numbers leadership finally trusted.
Typical delivery duration: Usually visible within the first release cycle.
Operational overhead and handoff gaps in a high-volume workflow.
A services operator needed live visibility of SLA breach risk across its client base. We built an operational dashboard sourced from ticket, monitoring, and CRM data, embedded in the ops team's daily standup — replacing a weekly retrospective view with a proactive one.
Typical delivery duration: Usually visible within the first release cycle.
Vignettes are anonymised composites drawn from engagements and product work. No client names, logos, or performance figures are implied.
Both, plus Metabase and custom-embedded surfaces. The choice depends on licence footprint, audience, and where the data already sits.
Often, but not always. For smaller estates we build the defined layer inside the existing operational platform. We recommend based on scale, not fashion.
Your business does — we facilitate. We won't invent metric definitions on your behalf; we document the ones the business agrees on.
Row-level security on the source data, integrated with your identity provider. Users see what their role allows, and audit shows who saw what.
Useful for narrative summaries and anomaly detection when grounded in your defined metrics. Not useful for inventing numbers, which we don't allow it to do.
It usually points at the data layer underneath. Show us the pack — we'll show you the shortest path to trusted reporting.
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