Data software is used to process analysis, visualizing and analyzing data to aid users in gaining insight. It helps increase productivity of employees, enhance customer service and sales.

Erwin DM is focused on the data’s structure and provides logical and conceptual models that reduce the complexity. However its most effective features are its automation capabilities and its standardization capabilities, as well as its integration capabilities. This allows analysts to reduce the number of manual steps, time spent on rerunning query and create data dumpsters which are of no or little use.

Another popular choice among the tools to analyze data is IBM SPSS Modeler, which can be used to build predictive models that translate into intelligent business outcomes. Its flexible deployment index options and integration with other IBM solutions like IBM SPSS Analytic Server as well as its capacity to handle both structured and unstructured data, make it a very powerful tool for analysts.

Finally, Excel deserves a mention because it’s hard to think of anyone who hasn’t utilized this traditional form of data analytics throughout their professional career. Excel is an excellent tool for analysts because of its simple interface and capability to convert data sets into graphs that are understandable.

Founded by researchers and with an 4.8 star rating on Capterra and 4.6 stars on G2Crowd, MAXQDA is a highly qualitative data analysis (BDA) software that offers an innovative set of features for organising and interpreting textual data collected from different sources such as interviews and focus groups as well as YouTube or Twitter comments. It also includes a mixed methods feature that allows the use of both qualitative and quantitative data for an expanded analytical scope.