Which analytics type helps in making future plans based on predictions?

The type of analytics that assists in making future plans based on predictions is predictive analytics. This analytical approach utilizes statistical algorithms and machine learning techniques to analyze historical data and make forecasts about future events. By identifying patterns and trends within the data, predictive analytics enables organizations to anticipate potential outcomes and devise strategies accordingly.

This forward-looking capability is critical for decision-making processes in talent acquisition, as it allows organizations to predict hiring needs, employee turnover, and even the success of certain recruitment strategies based on past behaviors and outcomes. By leveraging predictive analytics, HR professionals can proactively address issues and implement measures that enhance workforce planning and resource allocation, ultimately leading to more effective talent management.

The other types of analytics mentioned serve different purposes: descriptive analytics focuses on summarizing past data, diagnostic analytics seeks to understand the reasons behind past outcomes, and prescriptive analytics recommends actions to achieve desired outcomes rather than making predictions. Hence, while each type has its importance, predictive analytics plays a unique role in planning for the future based on anticipated developments.