Data software is used for processing data, analyzing and visualizing it to give users a better understanding. It is used to boost employee productivity, improve sales and customer service.
While erwin DM is focused on the architecture of data, offering conceptual and logical data models to help reduce complexities, its more useful functions are found in its ability to automate processes and standardize data, as well as its integration capabilities. This helps analysts reduce the number of manual steps, time spent on rerunning query and also create data dumpsters that are of no or little use.
Another popular choice among tools for data analysis is IBM SPSS Modeler, which can be used to build predictive models that can be translated into intelligent business outcomes. Its flexible deployment options and integration with other IBM solutions such as IBM SPSS Analytic Server as well as its capacity to handle both structured and unstructured data make it an effective tool for analysts.
Finally, Excel deserves a mention because it’s hard to imagine anyone who hasn’t used this classic method of data analytics in their professional career. Excel is a fantastic tool for analysts due to its simple interface and capability to convert data sets into comprehensible graphs.
Founded by researchers and with an 4.8 star rating on Capterra and 4.6 stars on G2Crowd, MAXQDA is a quantitative data analysis (BDA) software that offers an innovative array of features for organizing and interpreting textual data gathered from diverse sources, including interviews and focus groups, as well as YouTube or Twitter comments. Additionally, it has a mixed method feature that allows for the use of both quantitative and qualitative data for an enhanced analytical scope.
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