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Data software is used to process to analyze and visualize data in order to assist users gain insight. It is commonly employed to improve sales, customer service, boost productivity of employees and much more.

While Erwin DM is focused on the structure of data, offering conceptual and logical models of data to reduce the complexity of data however, its most valuable features are in its ability to automate processes and standardize data and also its integration capabilities. This allows analysts to reduce the time and effort spent in rerunning queries, and helps avoid creation of data dumpsters of minimal or no value.

Another top choice among data analysis tools is IBM SPSS Modeler, which can be used to create predictive models that translate into intelligent business results. Its flexible deployment options, as well as integration with other IBM products, like IBM SPSS Analytic Server and its ability to work with both unstructured and structured data, make it a very powerful tool for analysts.

Last but not least, Excel deserves a mention because it’s difficult to imagine anyone who hasn’t utilized this standard method of data analytics in their professional life. Excel is an excellent tool for analysts due to its simple interface and capability to convert data sets into comprehensible graphs.

MAXQDA, a tool for qualitative data analytics (BDA) tool was developed by researchers. It has an 4.8-star rating on Capterra, and 4.6-stars on G2Crowd. It comes with a variety of unique features for organizing and interpreting data from different sources, such as interviews or focus group discussions or even comments on YouTube or Twitter. It also has a mixed-methods feature that permits the use of qualitative and quantitative data to enhance analytical scope.