Dr. Thanyatida Gunadham is an accomplished information systems scholar, researcher, and educator with over two decades of combined academic and corporate technology experience. She holds a Bachelor of Business Administration in Operations Management from Kasetsart University, a Master of Information Management & Systems with double specializations in Business Intelligence and Knowledge Management from Monash University, and a Ph.D. in Computer Science and Information Systems from the National Institute of Development Administration, where she graduated with a perfect GPA of 4.00. Dr. Gunadham’s academic appointment portfolio spans serving as a full-time lecturer in the Department of Digital Business Management at Assumption University’s MSME Business School, alongside an appointment as an Adjunct Faculty Member at Manipal GlobalNxt University. Her pedagogical and research focus lies at the intersection of enterprise architecture, knowledge management systems, and business intelligence tool optimization. Prior to her full-time career in academia, Dr. Gunadham built a robust corporate foundation as a systems analyst and quality assurance expert within the telecommunications and banking sectors. She spent several years as a Test Analyst and Project Test Manager at Total Access Communication PLC (dtac), where she led software evaluation for complex CRM architectures, ERP applications, and enterprise supply chain systems, holding global industry certifications including ISTQB-CTFL. She also accumulated deep analytical experience in Management Information Systems (MIS) and user acceptance testing at United Overseas Bank (Thai) and Ayudhya Allianz C.P. Life. A highly active researcher, Dr. Gunadham has published numerous empirical papers in international journals covering data analytics, enterprise Internet of Things (IoT) design, and cloud database security. She possesses advanced proficiency in enterprise software frameworks including SAS Enterprise Guide, SQL databases, and leading business intelligence suites such as Tableau and Power BI.