Tableau Public examples

Small public examples, not polished client case studies.

These examples are kept as public reference material for dashboard patterns, Tableau practice, finance reporting demos and public-data visualisation ideas. Client work is usually private, so this page is intentionally restrained.

Dashboard and analytics examples from DataDive
How to read this page

Use these as examples of thinking, not as a design portfolio.

Most serious Tableau, Power BI, dbt, BigQuery and finance reporting work happens inside private business systems. The public examples below are useful for showing topics we work on, but the better path is to start with the service that matches your reporting problem.

Selected examples

Tableau Public references

Limited public examples connected to the relevant DataDive service pages.

QuickBooks demo dashboard preview
Finance reporting demo

QuickBooks company dashboard

A public demo showing how finance data can be shaped into management reporting views. Real QuickBooks projects usually need API extraction, cash-flow logic, invoice ageing and data quality checks.

Tableau licence planning dashboard preview
Tableau planning

Tableau licence count helper

A simple planning example for thinking through Tableau users and licence needs. In real projects this links to governance, permissions, publishing standards and support operating models.

Tableau bar chart techniques preview
Dashboard design pattern

Bar chart pattern examples

A lightweight Tableau technique example. For production dashboards, the bigger issue is usually metric definition, visual hierarchy, filter behaviour, performance and business adoption.

Other public-data experiments

Kept as older public Tableau samples.

These are not the main proof points for DataDive. They are older public-data exercises that can still be useful when discussing maps, open data and basic exploration.

Better next step

Start with the reporting problem, not the public gallery.

Tell us whether you need a dashboard rebuilt, a finance data source connected, a BigQuery/dbt foundation, Tableau Cloud migration, or ongoing analytics capacity.