Data software is used to process to analyze and visualize data to help users gain insight. It can be used to increase employee productivity, improve sales and customer service.

While Erwin DM focuses on the architecture of data, providing logical and conceptual data models to reduce the complexity of data and improve efficiency, its more valuable functions are in its ability to automate processes and standardize data, as well as its integration capabilities. This allows analysts to reduce the number of manual steps, the time spent on rerunning query and create data dumpsters that are of little or no use.

Another choice among the tools to analyze data is IBM SPSS Modeler, which can be used to build predictive models that translate into intelligent business results. This tool is a powerful one for analysts due to its flexibility in deployment options as well as integration with other IBM products like IBM SPSS Analytical Server and its capacity to work with unstructured and structured data.

Excel is also worth mentioning because it’s difficult to imagine a person who hasn’t employed the traditional form of data analysis in their professional life. With its user-friendly interface and capability to convert data sets into comprehensible graphics it’s a classic tool that every analyst should have in their arsenal.

The software was developed by researchers. It has an 4.8 star rating on Capterra and 4.6 stars on G2Crowd, MAXQDA, a qualitative data analysis (BDA) software that provides an innovative set of features for organizing and interpreting textual data gathered from different sources such as interviews or focus groups, or even YouTube or Twitter comments. It also includes a mixed-methods feature that allows the use of qualitative and quantitative data to enhance analytical scope.

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