Data software is used to process data, analyze and visualize it in order to help users gain insight. It can be used to increase employee productivity, improve customer service and sales.
While erwin DM is focused on the structure of data, offering conceptual and logical data models to reduce the complexity of data but its most useful features are found 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 to create data dumpsters that are of no or little use.
IBM SPSS Modeler is another popular option among tools for data analysis. It is able to build models that are predictive and yield intelligent business results. This tool is an effective one for analysts due to its scalability in deployment and integration with other IBM products like IBM SPSS Analytical Server and ability to support both unstructured and structured data.
Excel is also worthy of mention because it’s hard to imagine someone who hasn’t used the traditional method of data analysis during their professional career. Excel is a powerful tool for analysts because of its user-friendly interface and ability to convert data sets into understandable graphs.
The software was developed by researchers. It has a 4.8 star rating on Capterra and 4.6 stars on G2Crowd MAXQDA, a qualitative data analysis (BDA) software that provides an innovative array of features for organizing and interpreting textual data from various sources like interviews and focus groups, as well as YouTube or Twitter comments. Additionally, it has the ability to mix methods that allow the use of qualitative and quantitative data to increase analytical scope.
