Data software is used to process the data, analyzing it and visualizing it to aid users in gaining insight. It can be used to increase employee productivity, enhance customer service and sales.
While erwin DM is focused on the structure of data, offering conceptual and logical data models to simplify the process however, its most valuable features are in its ability to automate processes and standardize data and also its integration capabilities. This allows analysts to cut down on the time and effort on rerunning queries and also helps to prevent creation of data dumpsters of little or no value.
IBM SPSS Modeler is another popular choice among tools for data analysis. It is able to develop models that are predictive and produce intelligent business outcomes. Its ad-hoc deployment options and integration with other IBM solutions, such as IBM SPSS Analytic Server, as well as its ability to work with both unstructured and structured data make it an effective tool for analysts.
Excel is also worthy of mention because it’s difficult to imagine someone who hasn’t employed the traditional form of data analysis in their professional life. Excel is a great tool for analysts because of its simple interface and ability to convert data sets into understandable graphs.
Founded by researchers and with a 4.8 star rating on Capterra and 4.6 stars on G2Crowd, MAXQDA is a qualitative data analysis (BDA) software that offers an innovative set of features for organizing and interpreting textual data gathered from different sources, such as interviews and focus groups as well as YouTube or Twitter comments. It also includes the ability to mix methods, which allows for the use of both qualitative and quantitative data to provide greater analytical power.
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