Data software is used to process data, analyzing and visualizing it to help users gain insight. It is employed to improve sales and customer service, increase employee productivity and more.

While Erwin DM concentrates on the structure of data, offering conceptual and logical models of data to help reduce complexities but its most useful features are found in its ability to automate processes and standardize data, and also its integration capabilities. This allows analysts to reduce the number of manual steps, time spent on rerunning query and create data dumpsters that are of no or little use.

Another popular choice among data analysis tools is IBM SPSS Modeler, which can be used to build predictive models that translate into intelligent business results. Its ad-hoc deployment options and integration with other IBM solutions like IBM SPSS Analytic Server, as well as its ability to work with both unstructured and structured data make it an effective tool for analysts.

Last but not least, Excel deserves a mention because it’s hard to think of anyone who hasn’t utilized this standard method of data analytics during their professional life. Excel is an excellent tool for analysts because of its user-friendly interface and ability to convert data sets into easily Click This Link understood graphs.

Founded by researchers and with 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 organising and interpreting textual data from different sources such as interviews and focus groups, as well as YouTube or Twitter comments. It also has a mixed methods feature that allows for the use of both qualitative and quantitative data to provide greater analytical power.