BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Prescriptive analytics answers the question “What should/can be done?” by using machine learning, modeling, simulation, heuristics, and other methods to predict outcomes and provide decision options.

Detailed explanation-2: -Prescriptive questions: These are questions that ask what we should do about a particular development challenge. “What intervention would be most appropriate in this context for increasing grade level 3 child literacy rates?” is and example of a prescriptive question.

Detailed explanation-3: -Prescriptive analytics has been called “the future of data analytics, ” and for good reason. This type of analysis goes beyond explanations and predictions to recommend the best course of action moving forward. It’s especially useful in driving data-informed decision-making.

Detailed explanation-4: -A typical example of descriptive, predictive and prescriptive analytics is analyzing seasonal purchasing patterns to determine the best time to launch a new product. As consumers are creatures of habit, looking at historical data predicts their responses.