Data Analytics Guide

• Descriptive Analytics: The most basic type of analytics that answers the question "what happened?" It involves counting things, performing elementary statistical analyses (averages, distributions, trends), and presenting results in standard business reports. Produces "hindsight." • Diagnostic Analytics: The type of analytics that answers the question "why" something happened. It involves drilling down into data, identifying patterns or anomalies, and using statistical methods (e.g., regression models) to understand causal relationships between variables. Produces "insight." • Predictive Analytics: The type of analytics that answers questions like "which works better?" or "what will happen next?" It involves methods like A/B testing for comparative analysis and business forecasting using complex models of multiple variables. Produces "foresight." • Prescriptive Analytics: The most sophisticated type of analytics that answers the question "what should we do?" It involves complex simulations, optimization models, and recommendation engines, often incorporating AI, to advise on immediate or long-term decisions. Produces "smartsite." • A/B Testing: A method used in predictive analytics that involves comparing two versions of something (A and B) by trying each approach on a significant sample to determine which performs better in terms of driving desired outcomes. • Regression Models: Statistical methods used in diagnostic analytics to quantify the influence of one variable on another, helping to understand causal relationships and patterns in data. • Forecasting: A key application of predictive analytics that involves estimating future outcomes (e.g., sales, profit) based on current and historical data and trends. • Simulations: Computational models used in prescriptive analytics to imitate the operations of a real-world process or system to test different "what if" scenarios and predict outcomes. • Optimization Models: Mathematical techniques used in prescriptive analytics to find the best possible solution or decision from a set of alternatives, often by maximizing or minimizing certain objectives. • Hindsight: The understanding of an event or situation only after it has happened, typically produced by descriptive analytics. • Insight: A deeper understanding of a situation, especially why something happened, typically produced by diagnostic analytics. • Foresight: The ability to predict what will happen or what will be needed in the future, typically produced by predictive analytics. • Smartsite: A term used to describe the type of highly actionable insight produced by prescriptive analytics, enabling optimal decision-making.