Data software is used to process the data, analyzing it and visualizing it to help users gain insight. It helps increase employee productivity, improve sales and customer service.
While erwin DM is focused on the architecture of data, offering conceptual and logical models of data to help reduce complexities however, its most valuable features are found in its ability to automate processes and standardize data as well as its integration capabilities. This allows analysts to decrease the amount of manual work and time spent on rerunning queries, and helps avoid creation of data dumpsters of low or no use.
IBM SPSS Modeler is another popular option among the tools to analyze data. It can be used to create models that are predictive and will produce smart 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 it an effective tool for analysts.
Finally, Excel deserves a mention because it’s hard to think of anyone who hasn’t used this type of traditional data analytics in their professional life. Excel is a fantastic tool for analysts because of its simple interface and capability to convert data sets into comprehensible graphs.
MAXQDA, a quantitative data analytics (BDA) tool was created by researchers. It has a 4.8-star rating on Capterra, and 4.6-stars on G2Crowd. It offers a variety of unique tools to organize and interpret data from a variety of sources, such as interviews and focus group discussions or even comments on YouTube or Twitter. It also has a mixed-methods feature that permits the use of qualitative and quantitative data to expand the scope of analysis.