Data Visualization
Data visualization is the representation of data as charts, diagrams, pictures, or tables. When information is presented visually, it’s easier to see patterns and quickly spot outliers. Data visualizations are also perfect for performing comparison and forecast analyses.
In depth
Data visualization turns raw numbers into visual elements that match the way our brains recognize patterns: lines for trends, bars for comparisons, points for relationships, and colour or size to show magnitude.
To present a clear message, good visualizations focus on simplicity and scale, use consistent labelling, and minimize clutter.
Charts and diagrams serve different analytical purposes. Line charts reveal trends over time, bar charts compare categories, scatter plots show correlations and outliers, and tables excel at making complex information easier to understand. Design elements such as axis scale, aggregation type, and colour palette all have an impact, so make sure your choices improve the presentation and readability.
Pro tip
Match the chart type to the question you want to answer. For example, to find an outlier, use a series chart and a normal range or a scatter plot rather than a single aggregated number. Always label axes and include context (time ranges, units, sample size) so readers can judge accuracy and relevance.
Why Data Visualization matters
You make faster decisions when information is presented in a format that’s easier for your brain to quickly process. Visualization reduces the time spent hunting through spreadsheets, helps you detect data quality issues and anomalies earlier, and aligns teams around a single, easily-understood view of performance.
Data Visualization - In practice
- Spot a sales slump: A line chart with annotations reveals when a sales metric trended down and by how much.
- Find outliers: A scatter plot or line chart highlights values that sit outside the expected range.
- Prioritize action: A heatmap of product usage shows which features are driving engagement and which need attention.
- Share decisions: Dashboards combine related visuals so stakeholders can quickly see the full picture.
Data Visualization and PowerMetrics
With support for 30+ visualization types and dashboard layouts, PowerMetrics gives you lots of options for imaginative, purposeful data visualization. From a single metric, you can create multiple versions (or views) of your data by applying different chart and style options. With PowerMetrics, it’s easy to create the right visual for every question you need answered.
Related terms
Key Performance Indicator (KPI)
A key performance indicator (KPI) is a measurable value that shows how effectively your organization is achieving its most important objectives. Think of KPIs like the gauges on your car dashboard—each one gives you real-time feedback to help you maintain your engine and stay on course.
Read moreMetric Catalog
A metric catalog is a centralized library of standardized metrics and KPIs, each with a clear name, formula, and description. Think of it as a reference guide that ensures everyone in your organisation measures progress the same way.
Read moreMeasure
A measure, in the context of data, is a quantifiable numeric value used to track and analyze data. It represents a calculation—like sum, average or count—that’s performed on raw data points.
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