Data Visualisation

Analytics

Also: data viz · data visualization

What it isVisual representation of data to reveal patterns

GoalMake data actionable at a glance

ToolsLooker Studio, Tableau, GA4 explorations

Quick definition

The practice of representing data graphically — charts, graphs, maps, heatmaps — to make patterns, trends and outliers visible that would be invisible or slow to interpret in tabular form. Good data visualisation accelerates decisions.

Where it shows up in the data

Chart selection

Different charts serve different analytical purposes. Line charts show trends over time. Bar charts compare categories. Scatter plots show correlations. Pie charts show composition (but often poorly). Choosing the wrong chart type obscures insight.

Data-to-ink ratio

Edward Tufte's principle: every mark on a chart should add information. Remove gridlines, backgrounds, legends and decorations that do not help the reader understand the data. Simplicity improves comprehension.

Colour encoding

Using colour to carry meaning (green = good, red = bad, size = magnitude) rather than decoration. Consistent colour encoding across a dashboard reduces cognitive load.

Anomaly highlighting

The primary value of visualisation is making outliers visible. A line chart that shows a sudden drop is instantly interpretable. The same drop in a table requires calculation.

What it actually means

Data visualisation transforms numbers into pictures that reveal patterns instantly. A table showing daily website sessions for 90 days requires you to calculate trends mentally. A line chart shows the trend in a second. When you multiply this across 20 marketing metrics, the compound time saving and comprehension improvement is significant. Good visualisation is not decoration — it is analytical infrastructure.

Data visualisation is not about making charts look good. It is about making decisions happen faster.

How it shows up

Data visualisation appears in marketing as dashboards (Looker Studio, Tableau, Power BI), built-in platform reports (GA4 explorations, Meta Ads charts), ad hoc chart creation (Excel, Google Sheets) and presentation-level executive summaries. The choice of tool depends on data source complexity, audience and required update frequency.

The Australian context

Looker Studio is the standard free tool for AU marketing teams and handles most visualisation needs without requiring data engineering skills. For larger businesses or cross-departmental reporting, Tableau and Power BI are widely used in AU enterprise. The skill gap in AU marketing is less about tool availability and more about chart design literacy — choosing the right visualisation type for the analytical question.

Where people get this wrong

Using pie charts for most comparisonsPie charts are hard to read accurately, especially with more than 3-4 segments. Humans are better at comparing length (bar chart) than angle or area (pie chart). Use bar charts for most comparisons.

Visualising without a question in mindVisualisation should answer a specific question ('is spend trending up this month?') not display all available data. Charts built without a specific question tend to be complex and unhelpful.

Inconsistent scales across comparison chartsIf two charts compare similar metrics but use different y-axis scales, visual comparison is misleading. Consistent scaling is not optional when charts are meant to be compared.

Common questions

What chart type should I use for marketing data?

Line charts for trends over time (traffic, revenue, CAC week by week). Bar charts for comparing categories (channel performance, campaign comparison). Scatter plots for correlations (spend vs conversion). Tables for specific number lookup. Avoid pie charts except for simple 2-3 part composition. Heatmaps for geographic or temporal patterns.

Do I need Tableau for data visualisation?

No. Looker Studio (free) handles most marketing visualisation needs. Google Sheets has capable charting for ad hoc analysis. Tableau adds value for complex multi-source analysis or interactive executive presentations, but it is overkill for most AU SMBs.

Keep exploring

About New Rebellion

New Rebellion is a marketing intelligence consultancy. We build tools, score Australian businesses on how their marketing actually performs, and publish Debrief every day. This dictionary is part of how we work in the open.

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