We trust that this publication will save you many hours of research. Click on each to expand the ordered list: Approximate Age of Software/Company We want this research report to be mobile-friendly, so we’ve nested five different methods of ranking these data visualization tools. You can also click here to jump straight to the list of features that we’ve uncovered for each data visualization tool. For each tool, we looked at the feature sets of competitors to come up with their top closest competitors from a data-driven, feature-focused perspective. Of special importance is the field titled, Top Five Other Data Visualization Platforms with Most Similar Features, in Order. We highly recommend scheduling several 1-2 hour-long meetings with cross-department representation from your support teams, marketing teams, security teams, or sales teams for the purpose of evaluating each feature and its importance in your organization. There too, you’ll want to give your own importance rating to derive your own, custom scatter plot:Īny company looking for a data visualization platform should consider going through each item on this list one by one to determine how important each feature is for their particular use case. Likewise, Data Visualization Business Strength is a number that was derived from certain business-related qualities of each company, and our own (subjective) scoring of the importance of those qualities. You’ll definitely want to take our survey to layer in your own feature importance scoring before deciding on a solution.
We focus almost exclusively on publicly verifiable facts in our research.ĭata Visualization Feature Strength is a number that was calculated by looking at how many features each tool had, and the relative, subjective importance of each feature. Note: If we mark a specific solution as not having a particular feature, that only means we did not see that feature advertised in their public marketing content. We put together a scatter plot that ranks each data visualization platform based on various areas, for example: How do these tools accept data? What file formats do they accept? How are the columns and rows structured? Does the data need to be formatted in a specific way? They collected over 350 data points, and more than 900 feature points. Our analysts have done comprehensive research on 49 data visualization tools. But we highly suggest you participate in our custom data visualization survey so you can layer in your own importance prioritization for each feature:
This top ten list is continually updated as we get more feedback. We’ve ranked the top ten tools in our research according to their responses. We reached out to a cohort of industry experts to get some initial feedback on what features are most important in data visualization tools.
SAP LUMIRA DESIGNER EXTRACT MONTH FROM DATE SOFTWARE
Also, feel free to check out our comprehensive comparison of screenshot software: 79 Screenshot Software Tools Compared. Our purpose in creating and maintaining this list is to help anyone responsible for selecting a data visualization tool, to quickly and painlessly identify which tools are the very best fit to meet their particular goals within their budgetary constraints.
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