Modern businesses are awash in data, including operational and financial. Decisions that once relied on management intuition now involve careful analysis of financial statements, spreadsheets and ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

A categorical variable is defined as one that can assume only a limited number of values. For example, a person's sex is a categorical variable that can assume one of two values. Variables with levels ...

Business process analysis (BPA) is a methodology that helps organizations deeply examine internal processes to find opportunities for improvement. BPA helps to identify processes that can be made more ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

The GLM procedure fits general linear models to data, and it can perform regression, analysis of variance, analysis of covariance, and many other analyses. The following features for regression ...

Trying to uncover evidence of fraud in a data set of millions of records is somewhat akin to searching for a needle in a haystack. Fortunately, the successful employment of data analysis techniques ...

The film details the data analysis procedures used in a comparative psycholinguistics research project at the University of Illinois, initiated in 1960. It illustrates the systematic steps taken to ...