How does Predictive Analytics differ from Prescriptive Analytics?It tells what will happen in the future.It suggests ways to handle a possible future scenario.It examines the root causes of an event.It provides current data visualizations

Predictive Analytics and Prescriptive Analytics are two different aspects of data analytics.

1. Predictive Analytics: This type of analytics is all about forecasting. It uses historical data and statistical algorithms to predict future events or trends. It answers the question of "what could happen in the future?" based on the data from the past. It does not tell us what to do about these future scenarios, but it gives us an idea of what to expect.

2. Prescriptive Analytics: This type of analytics goes a step further. It not only predicts future scenarios but also suggests actions to take for optimal outcomes. It answers the question of "what should we do?" It uses a combination of techniques and tools such as business rules, algorithms, machine learning, and computational modelling procedures to suggest decision options.

3. Examining the root causes of an event: This is more related to Descriptive Analytics, which looks at past data to understand what has happened and why. It involves a detailed data study to identify patterns and understand the reasons behind a particular outcome.

4. Providing current data visualizations: This is a part of data representation, which can be a part of any type of analytics. It involves presenting data in a graphical or pictorial format so it can be easily understood. This can be used in Descriptive, Predictive, or Prescriptive Analytics to better understand the data and the insights derived from it.