Data software is used to process data, analyzing and visualizing it to help users gain insight. It helps increase productivity of employees, enhance customer service and sales.

While Erwin DM is focused on the architecture of data, providing conceptual and logical data models to reduce the complexity of data, its more useful functions are found in its ability to automate processes and standardize data and also its integration capabilities. This allows analysts to decrease the number of manual steps, the time spent on rerunning query and create data dumpsters that are of no or little use.

IBM SPSS Modeler is another popular option among tools for analyzing data. It can be used to develop models that are predictive and will produce intelligent business outcomes. Its flexibility in deployment options and integration with other IBM products, like IBM SPSS Analytic Server and its ability to accommodate both unstructured and structured data make this a powerful tool for analysts.

Excel is also worthy of mention since it’s hard to imagine a person who hasn’t utilized the traditional form of data analysis in their professional life. Excel is an excellent tool for analysts because of its user-friendly interface and capability to convert data sets into easily understood graphs.

MAXQDA is a qualitative data analytics (BDA) tool, was founded by researchers. It has the 4.8-star rating on Capterra and 4.6-stars on G2Crowd. It offers a set of innovative tools for organising and interpreting information from various sources, such as interviews and focus group discussions or even comments on YouTube or Twitter. It also includes a mixed-methods feature that permits the use of qualitative as well as quantitative data to improve the scope of analysis.

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