Integrated supply chain constitutes a core firm competency, spanning most business functions required to deliver products and services to consumers at the right time, in the right amounts, at attractive prices, and with satisfactory quality characteristics. Advances in information technology facilitate continued improvement in supply chain infrastructure and operations efficiency. This course will introduce fundamental concepts in supply chain management along with basic quantitative tools to model, optimize, and analyze strategic, tactical, and operational decisions that arise in supply chains.

Supply chains (SCs) provide products and services to consumers and lie at the heart of global economies. Supply chain analytics focuses on a understanding of SC data for the efficient coordination of operations and choice of policies. The course covers concepts in customer service analytics, transport strategy, SC coordination, inventory management, and location strategy. The course will mostly involve team assignments, case studies, and SC simulation games.

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This course focuses on the use of business tools to visualize data and create reports to aid in business decisions, advance arguments with data, and distill analyses for consumption by non-analysts. This course assumes knowledge from OIM 350 including SQL query construction and basic Tableau and Excel usage. Students will extend their knowledge of Tableau for visualization and dashboard creation, as well as alternative software solutions including Microsoft PowerBI. This course focuses on experiential, hands-on learning in a group setting.

This course provides an introduction to business intelligence and analytics, including the processes, methodologies, infrastructure, and current practices used to transform business data into useful information and support business decision-making. Business Intelligence requires foundation knowledge in data models and data retrieval, thus this course will review logical data models for both relational database systems and data warehouses. Students will learn to extract and manipulate data from these systems using Structured Query Language (SQL). This course also covers visualization, reporting, and dashboard design with experiential learning using leading industry applications.

This course provides an introduction to business intelligence and analytics, including the processes, methodologies, infrastructure, and current practices used to transform business data into useful information and support business decision-making. Business Intelligence requires foundation knowledge in data models and data retrieval, thus this course will review logical data models for both relational database systems and data warehouses. Students will learn to extract and manipulate data from these systems using Structured Query Language (SQL). This course also covers visualization, reporting, and dashboard design with experiential learning using leading industry applications.

This course provides an introduction to business intelligence and analytics, including the processes, methodologies, infrastructure, and current practices used to transform business data into useful information and support business decision-making. Business Intelligence requires foundation knowledge in data models and data retrieval, thus this course will review logical data models for both relational database systems and data warehouses. Students will learn to extract and manipulate data from these systems using Structured Query Language (SQL). This course also covers visualization, reporting, and dashboard design with experiential learning using leading industry applications.