MIS 3300 Lecture Notes - Lecture 2: Railways Act 1921, Big Data, Data Science

• School: Utah State University
• Department: Management Information Systems
• Course: MIS 3300
• Professor: Zsolt Ugray

Document Summary

Set of theories, methodologies, architectures, and technologies that transform raw data into meaningful and useful information for business purposes. Skills, technologies, applications and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Developing new insights and understanding of business performance based on data and statistical methods. Why is this happening, what if these trends continue, what will happen next (predictions), what is the best that can happen (optimization) Interdisciplinary field about scientific processes and systems to extract knowledge or insights from data in various forms. Interdisciplinary subfield of cs, computational process of discovering patterns in large data sets. Involving methods at intersection of artificial intelligence, machine learning, stats, and database systems. Process of examining data sets to draw conclusions about info they contain. Collection of data sets so large and complex that becomes difficult to process using on-hand database management tools or traditional data processing apps.