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Business Analytics at LSSU Presented by C. Christopher Lee Associate Professor of Management Business Analytics Quantitative Management Research Methodology Scientific, Objective, Quantitative Analysis 3 Major Areas of Business Analytics: – Business Statistics – Management Science – Management Information Systems Job Opportunities: – 800 job openings at Wal-Mart Biz. Analytics Curriculum at LSSU Prerequisites - College Algebra Biz. Analytics 1 - BUSN 122, Biz. Applications with Contemporary Technologies Biz. Analytics 2 - BUSN 211, Business Statistics Biz. Analytics 3 - MGMT 280, Management Information Systems Biz. Analytics 4 - MGMT 371, Operations & Business Analytics (formerly MGMT 375, Supply Chain Management) Biz. Analytics 5 - MGMT 471, Advanced Business Analytics (formerly MGMT 375, Supply Chain Management) Business Analytics 2 BUSN 211, Business Statistics Descriptive Statistics Data Mining Sampling Theory Statistical Inference Central Limit Theorem Hypothesis Testing T-Test Model ANOVA Model – One Way ANOVA Regression Model - Simple Regression 4 Business Analytics 3: MGMT 280, Management Information Systems Systems Theories Database Design, Administration Decision Support Systems Data Warehousing Data Mining Systems Development Life Cycles (SDLC) System Implementation – Project Management of Information Systems Development Big Data – Concept, Analysis, Models 5 Business Analytics 4: MGMT 371, Operations & Biz. Analytics P/OM Production/Operations Management Concepts Operations Strategy Supply Chain Management Just-in-Time (JIT) Theory MRP, ERP Intermediate Biz. Statistics ANOVA Model Correlation Analysis Multiple Regression Model Time-Series Analysis 1 Forecasting Model MS/OR Management Science/ Operations Research: Linear Programming Model Transportation Model Inventory Control Model Decision Tree Model Project Management – PERT/CPM Model TQM – Statistical Process Control Model Queuing Model Risk Management - System Reliability Model Business Analytics 5 – MGMT 471, Advanced Business Analytics Advanced Biz. Statistics Structural Equation Modeling (SEM) Factor Analysis Discriminant Model Non-parametric Model Time-Series Analysis 2 – Advanced Forecasting Model Advanced MS/OR LP Model 2 Data Envelopment Analysis (DEA) Model Simulation Model Goal Programming (GP) Model Analytic Hierarchy Process (AHP) Model Non-LP Model Thank You! Any Questions? For More Information, contact: – Professor C. Christopher Lee, Ph.D: » » » » www.cchristopherlee.com [email protected] or [email protected] Office - Library 319 Phone: (906) 635 - 6682