BUS 336 Lecture Notes - Lecture 1: Algorithmic Trading, Business Analytics, Mathematical Optimization

• School: Simon Fraser University
• Department: Business Administration
• Course: BUS 336
• Professor: Andrew Flostrand

Document Summary

Quantitative analysis is a scientific approach to managerial decision making raw data processed to produce meaningful info. Raw data > quantitative analysis > meaningful information > better decisions. Quantitative factors: data that can be numerically calculated (e. g. investment alternatives, interest rates, inventory levels, demand, labor costs) Qualitative factors: non numeric information (e. g. political/emotional factors, natural phenomena, technological surprises) Quantitative and qualitative factors often have separate constructive roles in decision making. Properties of quantitative analysis: decisions based on quantitative data can be automated (e. g. algorithmic trading) Generally speaking; quantitative analysis will aid the decision making process and is important in many areas of management (e. g. production/operations management; supply chain management; business analytics) Business analytics data driven approach to decision making. Involves large amounts or data (e. g. big data), information technology (e. g. Involves large amounts or data (e. g. big data), information technology (e. g. networking: storage, processing), and statistical and quantitative analysis used to analyze data and provide useful information.