Data visualisation & dashboarding
Dashboards and visual narratives in Tableau and Power BI that leaders actually use: disciplined design, trustworthy metrics, and maintainability — not one-off hero charts.
Showroom
Related live demos
Open working examples in context — supplementary to a conversation, not a substitute for scoping your own datasets and governance.
- Governed micro-learning demo — interactive healthcare education design
Governed micro-learning demo
This showroom example recreates an AATD micro-learning module from the Alpha-1 Companion source app as a web-based education surface, including module cards, key points, knowledge checks, explanation feedback, and completion summary.
- Embedded analytics — illustrated with obesity in England
Embedded analytics showcase
Eye4Health delivers interrogable analytics inside a governed, on-brand web experience — so medical, market access, and brand teams share one evidence story in workshops and planning. Below is a live illustration on open public-health data; commissioned work uses your sources, controls, and narrative.
- Oncology pathways — embedded Power BI (open NHS data)
Power BI pathway insight demo
Live showroom embed exploring oncology patient pathway dynamics from openly published NHS data — variation in diagnosis, referral, and management signals presented in Power BI inside Eye4Health’s governed, on-brand surface.
- AATD prevalence — population planning demo
AATD prevalence planning demo
Live prototype for alpha-1 antitrypsin deficiency (AATD): translate population size and cited prevalence scenarios into expected case counts — with optional confidence ranges, visible methodology, and assumptions you can defend in workshops.
- Apixaban dose calculator — NVAF and VTE demo
Apixaban dose calculator — NVAF & VTE
A live product-style dosing demo: Cockcroft–Gault creatinine clearance with UK lab units (µmol/L), side-by-side NVAF (2-of-3 reduction criteria plus renal-band handling) and VTE (phase-only dosing). Built to show how Eye4Health ships governed, explainable decision support — calm enough for the boardroom, precise enough for medical review — not for prescribing.
The problem we see
Dashboard programmes become graveyards of charts: high effort, low trust, and fragile maintenance when definitions change.
Outcome we work towards: Visual products with ownership, metric definitions, and a design language that holds up when the data changes.
Business questions
- What decisions does this dashboard support weekly — and what can we delete?
- How do we make definitions stable and auditable?
- What is the minimum viable product that creates adoption?
What Eye4Health delivers
- Information architecture and wireframes anchored to decision workflows
- Builds in Tableau / Power BI with documentation and handover
- Training and governance patterns that prevent silent metric drift
Data and methods
- Data modelling guidance aligned to source-of-truth constraints
- Visual standards for accessibility and interpretability (colour, labelling, comparisons)
- Performance considerations for large datasets and refresh cadence
Who this is for
- Commercial analytics and insights teams
- IT and data platform teams needing sustainable products
- Leadership teams tired of “dashboard theatre”
Example outcome (anonymised)
An anonymised programme cut reporting time by consolidating definitions, reducing chart count, and aligning the dashboard to three recurring decisions rather than twenty occasional ones.
Related insights
Next step
If this matches a live decision on your side, a short working session usually clarifies scope fast — without a generic “sales deck” detour.