A predictive approach to data analytics involves

A predictive approach to data analytics involves

• A. Providing a computer program to gather information from the Internet.
• B. Providing information to solve a particular problem.
• C. Providing sensors that predict accidents.
• D. Providing a method to be used repeatedly to provide information.

Answer: (D)

Predictive analytics is about building models and rules that can be applied again and again to new data to forecast future outcomes. It uses historical data and statistical or machine-learning techniques to generate predictions, with an emphasis on repeatability and deployment. Once a model is developed and validated, it can be used repeatedly on new data to produce ongoing insights, such as updated risk scores or forecasted losses, rather than a one-off answer or a single hardware tool. The other options focus on data collection, a one-off solution to a single problem, or hardware like sensors. While data gathering or sensors can support predictive analytics, they aren’t what defines the predictive approach itself, which is the repeatable method for turning data into ongoing, actionable forecasts.

Predictive analytics is about building models and rules that can be applied again and again to new data to forecast future outcomes. It uses historical data and statistical or machine-learning techniques to generate predictions, with an emphasis on repeatability and deployment. Once a model is developed and validated, it can be used repeatedly on new data to produce ongoing insights, such as updated risk scores or forecasted losses, rather than a one-off answer or a single hardware tool.

The other options focus on data collection, a one-off solution to a single problem, or hardware like sensors. While data gathering or sensors can support predictive analytics, they aren’t what defines the predictive approach itself, which is the repeatable method for turning data into ongoing, actionable forecasts.