2. Business Analytics at LSSU C. Christopher Lee Associate Professor of Management Business Analytics at LSSU Presented by C. Christopher Lee Associate Professor of Management

3. Business Analytics Quantitative Management Quantitative Management Research Methodology Research Methodology Scientific, Objective, Quantitative Analysis Scientific, Objective, Quantitative Analysis 3 Major Areas of Business Analytics: 3 Major Areas of Business Analytics: –Business Statistics –Management Science –Management Information Systems Job Opportunities: Job Opportunities: –800 job openings at Wal-Mart

4. Biz. Analytics Curriculum at LSSU 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) Biz. Analytics 1 - BUSN 122, Biz. Applications with Contemporary Technologies Prerequisites - College Algebra

5. Business Analytics 2 - BUSN 211, Business Statistics Descriptive Statistics Descriptive Statistics Data Mining Data Mining Sampling Theory Sampling Theory Statistical Inference Statistical Inference Central Limit Theorem Central Limit Theorem Hypothesis Testing Hypothesis Testing T-Test Model T-Test Model ANOVA Model – One Way ANOVA ANOVA Model – One Way ANOVA Regression Model - Simple Regression Regression Model - Simple Regression 4

6. Business Analytics 3: MGMT 280, Management Information Systems Systems Theories Systems Theories Database Design, Administration Database Design, Administration Decision Support Systems Decision Support Systems Data Warehousing Data Warehousing Data Mining Data Mining Systems Development Life Cycles (SDLC) Systems Development Life Cycles (SDLC) System Implementation – Project Management of Information Systems Development System Implementation – Project Management of Information Systems Development Big Data – Concept, Analysis, Models Big Data – Concept, Analysis, Models 5

7. Business Analytics 4: MGMT 371, Operations & Biz. Analytics Production/Operations Management Concepts Production/Operations Management Concepts Operations Strategy Operations Strategy Supply Chain Management Supply Chain Management Just-in-Time (JIT) Theory Just-in-Time (JIT) Theory MRP, ERP MRP, ERP ANOVA Model Correlation Analysis Multiple Regression Model Time-Series Analysis 1 - Forecasting Model P/OM Intermediate Biz. Statistics Management Science/ Operations Research: Management Science/ Operations Research: Linear Programming Model Linear Programming Model Transportation Model Transportation Model Inventory Control Model Inventory Control Model Decision Tree Model Decision Tree Model Project Management – PERT/CPM Model Project Management – PERT/CPM Model TQM – Statistical Process Control Model Queuing Model Queuing Model Risk Management - System Reliability Model Risk Management - System Reliability Model MS/OR

8. Business Analytics 5 – MGMT 471, Advanced Business Analytics Structural Equation Modeling (SEM) Factor Analysis Discriminant Model Non-parametric Model Time-Series Analysis 2 – Advanced Forecasting Model Advanced Biz. Statistics LP Model 2 LP Model 2 Data Envelopment Analysis (DEA) Model Data Envelopment Analysis (DEA) Model Simulation Model Simulation Model Goal Programming (GP) Model Goal Programming (GP) Model Analytic Hierarchy Process (AHP) Model Analytic Hierarchy Process (AHP) Model Non-LP Model Non-LP Model Advanced MS/OR

9. Thank You! Any Questions? For More Information, contact: –Professor C. Christopher Lee, Ph.D: »www.cchristopherlee.com www.cchristopherlee.com »clee4@lssu.edu or cchristopherlee@gmail.com clee4@lssu.educchristopherlee@gmail.comclee4@lssu.educchristopherlee@gmail.com »Office - Library 319 »Phone: (906) 635 - 6682