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Presented on 4/17/2024 Digital transformation is not an abstract or theoretical journey. Objectives cannot be effectively developed without analyzing data to establish a baseline. Data science, various types of analytics, and the emerging of unstructured data can be confusing and intimidating for leaders faced with the challenge of “Where do we begin?” This presentation examines the proposed Quality 4.0 focused components of data analysis. The distilling of information as it flows is a process. Developing a data analysis process, along with basic quality concepts are the critical Quality 4.0 components supporting digital transformation. This presentation addresses key issues of: How data analysis performed with basic quality concepts supports the accomplishment of digital maturity? Dr. Milton Krivokuca, is the Interim Program Coordinator for the Master of Science Quality Assurance program at California State University Dominguez Hills, Carson, CA. He is a recognized Quality 4.0 thought leader. He has instructed master’s classes in critical thinking and quality theories at several universities. Dr. Krivokuca frequently presents results of his quality related research through papers and presentations. He is past chair of ASQ Quality Management Division, an ASQ Fellow, ASQ 2024 Grant Award recipient, ASQ Section 700 Simon Collier Award recipient, and Quality Magazine’s 2024 Quality Professional of the Year. Dr. Krivokuca’s degrees include an MA, MBA, and a DBA. He has earned 10 professional certifications.