What type of data analytics should be used to predict potential future outcomes?

Predictive analytics is specifically designed to forecast future outcomes based on historical and current data. By utilizing various statistical techniques, machine learning algorithms, and data mining methods, predictive analytics analyzes patterns and trends within data to make informed projections about what may happen in the future. This approach helps organizations anticipate potential challenges, market changes, or customer behavior, allowing them to make proactive decisions.

Descriptive analytics, on the other hand, focuses on summarizing historical data to provide insights into what has happened, while diagnostic analytics aims to explain why specific events occurred by examining the data further. Meanwhile, prescriptive analytics goes beyond prediction to recommend actions based on the predicted outcomes. Each of these types of analytics plays a unique role in data-driven decision-making, but predictive analytics is the crucial tool for anticipating future events or conditions.