Multivariate Data Analysis" offers a practical guide for using various techniques like factor analysis, regression, and clustering in data analysis without diving deep into complex math. The main focus is to help non-experts understand how to apply these techniques effectively, rather than just explaining how they work on a technical level. By following a six-step framework and easy-to-follow flowcharts, the book aims to make multivariate analysis more accessible to those who are not statistics experts. Whether you're dealing with data from surveys, experiments, or customer preferences, this resource provides a roadmap to navigate and make sense of a wide range of analytical tools available.