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Nov 21, 2024
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2024-2025 Graduate Catalog
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BIDA 670 - Advanced Analytics Project
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
The prerequisite business analytics course presented predictive and prescriptive analytics tools at the introductory level. This course goes beyond by covering the tools and theory at a deeper level with an emphasis on the challenges that can arise in implementing analytical approaches within an actual organization. With the objective of helping students make better business decisions using advanced analytics, the course emphasizes that business analytics is a practical discipline which requires mastery of both methodology and business applications using special software and tools. Course topics include a review of basis forecasting, large scale optimization, network optimization, multicriteria-decision making and heuristics algorithms. The course presents real-world examples where a significant competitive advantage has been obtained through large-scale data analysis. Examples include supply chain management, health care, pricing, and revenue management. Throughout the course, we will use SAP Next-Gen Lab, SAS software as a modeling and analysis environment including SAS Enterprise Guide, SAS Enterprise Miner, SAS Forecast Studio and SAS OR.
Prerequisite: BIDA 660
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