•Business Analytics - the skills, technologies, applications, and practices for continuous, iterative exploration and investigation of past business performance to gain insight and drive business planning
•Data Mining - the computational process of discovering patterns in large data sets ("big data")
•Big Data - the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications
•Business Intelligence - a set of theories, methodologies, architectures, and technologies that transform raw data into meaningful and useful information for business purposes
•Descriptive Analytics - to gain insight from historical data with reporting, scorecards, clustering, etc.
•Predictive Analytics - a variety of techniques from statistics, modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future, or otherwise unknown, events
•Prescriptive Analytics - automatically synthesizes big data, multiple disciplines of mathematical sciences and computational sciences, and business rules, to make predictions and then suggests decision options to take advantage of the predictions |
