Just as we’ve seen the shift to “DIY” data collection platforms, we’re also seeing the development of a whole new class of self-service data exploration and visualization tools. These are not necessarily replacements for SPSS, SAS, R, and other traditional analytical suites: those enterprise level systems are often still needed to do more complex and advanced statistical analysis. However, in many ways these newer entrants have a leg up over legacy providers: they are less expensive (in many cases free), more flexible, easier to use, and are built with the needs of a variety of users in mind. Today it’s possible to find many tools that can help the most inexperienced user quickly begin doing sophisticated analysis and produce great visualizations from many different types of data.
Read Full Article: 50 New Tools Democratixing Data & Visualization
Source: Dashboard Insight
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