Learning Goal: I’m working on a business case study and need an explanation and answer to help me learn.Task –
Data analysis is basically used for Prediction and Identification and for the rules of evidence for guiding
the analysis by Falsifiability, Validity, and Parsimony. That creates a critical link between good decision
making and success. Many business users want to apply data analysis to business data to understand the
trends, to make predictions and to improve their business decisions. It is important to know which data
analysis technique should be applied when and to which kind of data. Explain the following data analysis
techniques with an example, diagram, applications, and pros and cons. 25 marks are allocated for each
and expected critical analysis with 350 informatic words with 2-3 in-text citations minimum. a) Discriminate Analysis (DA)
b) Cluster Analysis (CA)c) Regression Analysis (RA)
d) Structural Equation Modeling (SEM) All resources should be cited using APA 7
th edition referencing style
Requirements: 1500
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