What Is a Figure Bank?
A figure bank is a curated collection of visual assets—charts, graphs, icons, diagrams, and illustrations—that are organized for easy reuse in documents, presentations, dashboards, and publications. In design and data visualization, a figure bank saves time by providing ready-made, editable elements instead of requiring creators to build every graphic from scratch. In finance and banking, the term can also refer to a repository of historical market data or benchmark figures used for modeling and reporting.
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Figure banks exist across industries, but the core idea remains the same: a library of visual or numerical assets that can be searched, adapted, and deployed quickly. Whether you are a financial analyst building a quarterly report or a graphic designer crafting a pitch deck, a well-structured figure bank reduces friction and improves consistency.
Common Types of Figure Banks
Data Visualization Figure Banks
These collections focus on charts, tables, and infographics. They include bar charts, pie charts, line graphs, heat maps, and scatter plots, often offered in formats such as SVG, PNG, or editable PowerPoint slides. Designers use them to maintain a unified visual language across a report or brand.
Financial Figure Banks
In banking and investment contexts, a figure bank may refer to a structured dataset of historical prices, ratios, balance sheet metrics, or macroeconomic indicators. Analysts pull these figures to build models, compare periods, or benchmark performance against industry averages.
Icon and Illustration Figure Banks
These libraries provide scalable icons and illustrations—people, objects, arrows, process symbols—that can be dropped into presentations or interfaces. They are especially useful for teams that need a consistent look without commissioning custom artwork for every project.
Benefits of Using a Figure Bank
- Speed: Pre-built figures reduce the time needed to create polished visuals.
- Consistency: A shared library ensures that charts and icons follow the same style guide.
- Accuracy: Curated financial figure banks minimize errors that arise from manual data entry.
- Scalability: Teams can reuse assets across reports, dashboards, and client deliverables.
For organizations that produce regular reports or presentations, a figure bank acts as a single source of truth. Instead of searching through old files for a usable chart, team members can pull from the bank and adapt the asset to the current context.
Where to Find a Figure Bank
Figure banks are available through several channels, each suited to different needs. Stock image platforms like Shutterstock, Adobe Stock, and Freepik offer large libraries of charts and icons, often with commercial licenses. Specialized data visualization tools such as Tableau, Power BI, and Datawrapper include built-in figure galleries that integrate directly with your data. For financial professionals, data providers like Bloomberg, Refinitiv, and government statistical agencies maintain figure banks of historical market and economic data.
Open-source options also exist. GitHub repositories, Wikimedia Commons, and academic data portals can be valuable for teams willing to verify licensing and formatting before use.
How to Build and Maintain a Figure Bank
Building an effective figure bank starts with organization. Assets should be categorized by type—charts, icons, maps, tables—and tagged by topic, color scheme, and format. Naming conventions matter; a clear file name like "bar-chart-revenue-quarterly.svg" is easier to find than a generic file called "chart1.svg."
Maintenance is equally important. Outdated charts or broken links reduce trust in the bank. A good practice is to assign an owner or small team responsible for reviewing the collection quarterly, removing unused assets, and adding new ones as needs evolve. Version control helps when figures are updated, so users always know which version is current.
Figure Bank in Practice
Consider a marketing team preparing a monthly performance report. Without a figure bank, each analyst builds their own charts, leading to inconsistent colors, labels, and styles. With a figure bank, the team pulls a pre-designed bar chart template, replaces the data, and the output matches the brand guide. The same approach works for financial modeling, where analysts pull standard ratio templates from a figure bank and populate them with current quarter figures.
The result is faster production, fewer errors, and a more professional output. Whether your figure bank is a shared folder of SVG files or a structured database of financial metrics, the goal is the same: make high-quality visuals and data easy to find and reuse.