Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

The paper explores the nexus between the financial and business cycles in a semi-structural New Keynesian model with a financial accelerator, an active banking sector, and an endogenous ...

Process analysis includes analyzing these data and using the results to identify ways to improve customer service. This illustrates the importance of data analysis in process examination.

Course TopicsStructural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis ...

Course TopicsStructural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis ...