Analytics · Service 06

Data Visualisation & BI.

Dashboards people actually use, a semantic layer your analysts trust, and embedded analytics that earn their place in your product.

72%
Avg. self-service adoption
Faster time-to-insight
40+
BI estates rebuilt
1
Source of truth
Overview

Dashboards are a product, not a deliverable.

We see the same failure mode everywhere: hundreds of reports, no single truth, analysts building the same thing three different ways. We fix it with a semantic layer, product-owner discipline and ruthless retirement of what no one reads.

We're partner-certified across Power BI, Tableau, Looker, ThoughtSpot and QuickSight. Tool choice is downstream of your stack and commercials.

What we build.

01

Executive dashboards

Board-ready, opinionated, decision-oriented. Not 40 tiles of noise.

02

Semantic / metric layer

Definitions you can point an analyst, an LLM and a finance director at — and get the same answer.

03

Self-service enablement

Curated datasets, training, office hours, governance. Self-service without chaos.

04

Embedded analytics

Analytics inside your product, multi-tenant, with row-level security and your brand.

05

BI estate rationalisation

Audit, consolidate, migrate, retire. Cut your licence bill and your cognitive load.

06

AI-enabled BI

Natural-language query, automated insights, anomaly alerts — where they genuinely help.

How we work

Audience-first, not chart-first.

1
Week 1

Audience & decisions

Who decides what, with what, how often. Metrics follow decisions.

2
Weeks 2–3

Model & layer

Semantic layer, curated datasets, conformed dimensions.

3
Weeks 4–8

Build & iterate

Fortnightly releases with real users, usage analytics from day one.

4
Ongoing

Govern & grow

Ownership, retirement, roadmap, capability uplift.

Deliverables

  • Semantic / metric layerOne place metrics are defined — code-reviewed, version-controlled.
  • Curated dashboardsPer audience, per decision, with usage telemetry.
  • Self-service datasetsGoverned, documented, trustable.
  • Usage analyticsWhich dashboards matter, which to retire.
  • Style & pattern libraryConsistent look, interaction, accessibility.
  • Enablement programmeTraining, office hours, guild.
Technology

Tools & frameworks we use.

Power BI
Tableau
Looker
ThoughtSpot
QuickSight
Superset
Metabase
dbt semantic layer
Cube
Sigma
In production

A real engagement.

Case study

Insurer — BI estate: 460 → 72 dashboards, licence spend cut 38%.

Six-month rationalisation programme retired 388 unused or duplicate dashboards, rebuilt the top 72 on a governed semantic layer, and cut licence spend 38% while adoption rose 2.1×.

Read full case study
460 → 72
Dashboards
−38%
Licence spend
2.1×
Active users
6 mo
End-to-end
FAQ

Common questions.

Power BI or Tableau?+
Depends on your Microsoft footprint, analyst skills and data platform. Both are excellent — we'll run a quick scoring exercise with you.
Can we have one source of truth without centralising everything?+
Yes — that's what the semantic layer is for. Definitions live centrally, dashboards can be built anywhere.
How do we stop "report sprawl" happening again?+
Ownership, usage telemetry, retirement cadence, self-service with guardrails. Not a technology fix — a governance one.
Can LLMs replace dashboards?+
For some questions, yes. We integrate natural-language query on top of the semantic layer so the LLM answers match the dashboards.
Ready when you are

Put your data to work.

Book a free 30-minute consultation with a senior Databuzz consultant.