BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -3) Predictive Analytics: Emphasizes on predicting the possible outcome using statistical models and machine learning techniques. 4) Prescriptive Analytics: It is a type of predictive analytics that is used to recommend one or more course of action on analyzing the data.

Detailed explanation-2: -At its core, predictive analytics includes a series of statistical techniques (including machine learning, predictive modeling, and data mining) and uses statistics (both historical and current) to estimate, or predict, future outcomes.

Detailed explanation-3: -Prescriptive analytics uses the data from a variety of sources-including statistics, machine learning, and data mining-to identify possible future outcomes and show the best option. Prescriptive analytics is the most advanced of the three types because it provides actionable insights instead of raw data.

Detailed explanation-4: -Prescriptive analytics uses statistical models and machine learning algorithms to determine possibilities and recommend actions.

Detailed explanation-5: -Predictive modeling is a commonly used statistical technique to predict future behavior. Predictive modeling solutions are a form of data-mining technology that works by analyzing historical and current data and generating a model to help predict future outcomes.