No reporting and analysis solution is complete without providing ways to visualize data and information. While data can be parsed from data tables, using modern data visualization is a more effective way to analyze and understand information.
There are a variety of tools and platforms available for data visualization. 2D and 3D charts and graphs, animated maps, and other advanced data visualization tools help users better understand their data and provide a fast, more meaningful view in context, especially when comparing data. Visit the visual gallery to view examples of data visualizations.
Individual tools can either be coded or purchased, with advantages and disadvantages in each case.
Developing tools in-house is expensive, and requires a lot of time from advanced developers who could be working on building your core product. While these tools can be highly-effective and suited to the exact needs of a particular business, down to the including of branding included in the visualizations, they are costly both to develop and maintain as the IT department will need to update the tools as time goes on.
An alternative to this is using bolt-on tools which have been developed externally. These tools can be bought and used for general-purpose data visualization needs. However, keep in mind that this will come at the cost of using personal branding in your visualizations, as well as the loss of many other customization features.
A third option lies in visualization platforms, purpose-built solutions that integrate multiple customizable visualization tools designed to facilitate clear and actionable data analysis. Visualization platforms can offer best-of-breed solutions to companies, allowing them access to bespoke customization and self-service data visualization without the maintenance and supervision typically required from IT and graphic design staff. Built by specialists responding to market demand for customized visualization tools, these platforms typically allow for self-service visualization that doesn’t require supervision from developers, as well as technical support, advanced reporting options, and more.
The Benefits of Data Visualization
Humans are visually-driven. To “see” often means to “understand.” And in today’s fast-paced business environments, scanning through rows of data can be time-consuming and impractical. Many businesspeople want data visualization tools to see accurate, real-time business-critical information. They may need to start with the big picture and further explore the details as needed. Or, they may need to spot exceptions and identify emerging trends to take immediate, appropriate action.
Advanced data visualization tools show high-level summaries of important data. They present information in clearly defined spaces using shape, size and color to provide context and meaning to the user, who can identify trends in the data and get insights at a single glance using BI technology and methods.
Lastly, an advantage of using a data visualization platform to communicate a message is that it has great persuasive power. To show two figures on a data-table and to display these same figures side by side on a chart or graph is quite different in terms of impact.
Data Visualization Best Practices and Tips
Data visualizations are meant to present data in a way that makes the information easy to digest and understand at a glance. Since there are many different ways to visualize data, it’s important to to consider best practices when you are creating visualizations. The best practices below can be used to create your data visualizations in a way that is useful and clear to viewers.
- Be selective about which types of data you want to visualize. Data visualization can be viewed as a visual form of analysis with the purpose of making critical items jump out at the user. If too much data is placed in visualization form, it may lose its impact and its usefulness. Stick with only the critical items.
- Choose the appropriate data visualization for the types of data and/or information you want to display. For example, a pie chart is best used to show relative proportions between pieces of data. A line chart can track an item over time. A heat map is useful to show two column values of multiple rows of data. Compare different types of data visualizations and ask yourself which best communicates the information you intended to get across.
- Leverage the power of the Web to place data visualization tools outside of the strict confines of your reporting interface, so your users are encouraged to dive deeper into key information. For instance, place relevant information displayed in charts and graphs in your company’s wiki or intranet, on blogs, CRM, etc.