Descriptive Analytics and ERP Integration Practicum

Catalog description

This practicum course provides a hands-on exploration of Descriptive Analytics and its integration with Enterprise Resource Planning (ERP) systems to support data-driven decision-making in modern enterprises. Students will apply Business Intelligence (BI) concepts, including big data principles, online analytical processing (OLAP), including machine learning and data mining, multidimensional modeling, data warehousing, and extract, transform, and load (ETL) processes, while working with BI tools like Power BI and ERP platforms such as SAP S/4 HANA. Through case studies, interactive exercises, and system-based projects, students will analyze complex business transactional data, uncover insights, and develop data-driven strategies to optimize enterprise operations. As a culminating experience in the MS in Business Analytics program, this practicum bridges technical expertise and strategic decision-making, preparing students to solve real-world organizational challenges through analytics and ERP integration. Prerequisite : BUSN 5760, CSDA 5310, CSBU 5340, CSBU 5420, and BUSN 6160. This course is to be taken in the final semester.