Data software is used to process to analyze and visualize data in order to help users gain insights. It is commonly employed to improve sales, customer service, improve productivity of employees and much more.
While erwin DM focuses on the architecture of data, offering conceptual and logical models of data to help simplify data however, its most valuable features are in its ability to automate processes and standardize data, as well as its integration capabilities. This allows analysts to decrease the number of manual steps, the time spent on rerunning queries, and to create data dumpsters that are of little or no use.
IBM SPSS Modeler is another popular choice among tools for data analysis. It is able to create models that are predictive and will produce smart business outcomes. This is a highly effective one for analysts due to its scalability in deployment, integration with other IBM products like IBM SPSS Analytical Server and its ability to handle both structured and unstructured data.
In the end, Excel deserves a mention since it’s difficult to imagine anyone who hasn’t employed this traditional form of data analytics during their professional career. Excel is a powerful tool for analysts because of its easy-to use interface and ability to convert data sets into understandable graphs.
It was created by researchers and has an 4.8 star rating on Capterra and 4.6 stars on G2Crowd, MAXQDA is a highly qualitative data analysis (BDA) software that provides an innovative set of features for organizing and interpreting textual information from various sources like interviews and focus groups as well as YouTube or Twitter comments. Additionally, it has mixed-methods features that allow the use of qualitative and quantitative data to increase the analytical capabilities.