|
[What is MDDA?] [Textbook] [Datasets] [YouTube videos] [Report template] [WarpPLS] |
The technique of model-driven data analytics (MDDA) involves the creation of a path model expressing an applied theory, and testing the model using path analysis with latent variables. The latter, path analysis with latent variables, is generally known as structural equation modeling (SEM).
MDDA emerged from the work of a special category of users of the software WarpPLS – data analysis consultants, who regularly work with organizations to provide data-driven recommendations.
While MDDA can be implemented through a variety of software tools, it has found wide adoption among WarpPLS users, because of the many powerful features of this software that can be used in this context. Moreover, in WarpPLS all analyses are model-driven, which makes this software much more user-friendly than other software tools that rely on extensive scripting to conduct analyses.
The publication below may be used by teachers of university courses on MDDA, as a free textbook.
Kock, N. (2023). Model-driven data analytics: Applications with WarpPLS. Laredo, TX: ScriptWarp Systems.
The files linked below contain not only data; but also scenarios, questions, and variables. These are used to illustrate how MDDA can be used to address the needs of various organizations.
Increasing SAT scores in a U.S. state (.xls file).
Improving satisfaction with car part delivery (.xlsx file).
Improving job performance through empathetic management (.xlsx file).
Improving software development by employing older coders (.xlsx file).
Deciding on a mall location to establish a hot dog kiosk (.xlsx file).
Organizing grocery store items to increase sales (.xlsx file).
The videos linked below provide step-by-step illustrations of how to analyze data in the context of scenarios, questions, and variables. These are used to illustrate how MDDA can be used to address the needs of various organizations.
Increasing SAT scores in a U.S. state
Improving satisfaction with car part delivery
Improving job performance through empathetic management
Improving software development by employing older coders
Deciding on a mall location to establish a hot dog kiosk
Organizing grocery store items to increase sales
The report template below may be used by teachers of university courses on MDDA, as a template of a final data analysis report to be generated by student teams.
Report template (.doc file).