Data software is used to process analysis, visualizing and analyzing data to aid users in gaining insight. It is used to boost productivity of employees, and improve customer service and sales.
erwin DM is focused on the structure of data and provides logical and conceptual models that reduce the complexity. However, its most useful features are its automation capabilities as well as its standardization capabilities, as well as its integration abilities. This helps analysts reduce the number of manual steps, time spent on rerunning query and create data dumpsters which are of no or little use.
IBM SPSS Modeler is another popular option among data analysis tools. It is able to build models that are predictive and will produce smart business outcomes. This tool is an effective one for analysts because of its flexibility of deployment options and integration with other IBM products such as IBM SPSS Analytical Server and its capacity to work with unstructured and structured data.
Excel is also worthy of mention because it’s hard to imagine a person who hasn’t employed the traditional form of data analysis in their professional career. Excel is a powerful tool for analysts due to its easy-to use interface and ability to transform data sets into understandable graphs.
Founded by researchers and with a 4.8 star rating on Capterra and 4.6 stars on G2Crowd MAXQDA is a quantitative data analysis (BDA) software that offers an innovative set of features for organising and interpreting textual data gathered from diverse sources, including interviews, focus groups or even YouTube or Twitter comments. Additionally, it has a mixed-methods feature that permits the use of qualitative and quantitative data to expand analytical scope.