![]() Integrations: From Amazon Web Services (AWS) to Salesforce to social media, does the data visualization tool have a data connector or API for the app you wish to pull data from?.Customizability: From data presets to chart types to the degree of software integration-how much control do you need over the design and implementation of your data visualizations? .Dashboard capabilities: Is your goal to create a business intelligence (BI) dashboard that can update visuals from live data feeds?.Interactivity: Does the target audience for your data visualizations need to be able to filter, zoom, and otherwise interact with your graphics?.Ease of use: Is the user interface (UI) intuitive enough for you to create the data visualizations you need? Do you need a drag-and-drop interface for non-coders or a lightweight library for developers?.Here are some of the criteria you can use to help you with your decision: With so many data visualization tools out there to choose from, it can be daunting deciding which one is right for your needs. What to look for in a data visualization tool Most tools allow you to create your own, customize charts, have powerful presets, or offer both capabilities. ![]() Data visualization tools can help you reveal the hidden stories within your data-whether it’s pulling website traffic data into a scatter plot to tell you how your marketing campaign is going, or using a heatmap to highlight the areas of a city that are most prone to flood damage. It is imagery dedicated exclusively to messaging or presenting information. What is data visualization?ĭata visualization is the visual depiction of information through charts, graphs, maps, and other graphics. Below is a list of some of the best data visualization tools on the market. ![]() ![]() Is your online marketing strategy working? How are customers interacting with you? Where are they coming from? What trends are you seeing in revenue performance tied to ad spend?The list of possibilities goes on and on.īeing able to tell that story without the complexity of raw numbers in spreadsheets with thousands to millions of rows of data is complex, and whichever data visualization tool you choose has to be able to match your data needs, big or small. In an increasingly data-heavy world, business intelligence, and the ability to digest data to tell a compelling story is crucial for companies to succeed. ![]()
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