Data software is used to process to analyze and visualize data in order to help users gain insight. It is commonly used to improve sales and customer service, improve employee productivity and more.
While erwin DM is focused on the structure of data, providing logical and conceptual data models to reduce the complexity of data however, its most valuable features are in its capacity to automate processes and standardize data, and also its integration capabilities. This allows analysts to decrease the amount of manual work and time spent on rerunning queries and helps avoid the creation of data dumpsters that are of minimal or no value.
Another top choice among data analysis tools is IBM SPSS Modeler, which can be used to develop predictive models that will translate into smart business outcomes. Its flexible deployment options and integration with other IBM solutions, such as IBM SPSS Analytic Server and its ability to support both structured and unstructured data makes it a highly effective tool for analysts.
Excel is also worthy of mention because it’s difficult to imagine someone who hasn’t used the traditional type of data analysis throughout their professional career. Excel is a great tool for analysts because of its user-friendly interface and ability to convert data sets into easily understood graphs.
MAXQDA, a quantitative data analytics (BDA) tool, was founded by researchers. It has a 4.8-star rating on Capterra and 4.6-stars on G2Crowd. It comes with a set of innovative tools for organizing and interpreting data from a variety of sources, including interviews and focus group discussions or even comments on YouTube or Twitter. It also comes with the ability to mix methods, which allows the use of qualitative and quantitative data to provide greater analytical power.