Explain how to leverage 'Predictive Analytics' in OAC.

Leveraging predictive analytics in Oracle Analytics Cloud (OAC) involves the utilization of algorithms to identify future trends and outcomes based on historical data. Predictive analytics is primarily focused on forecast modeling and utilizing statistical methods to analyze current and historical data patterns. This process enables organizations to make informed decisions by anticipating future scenarios and adjusting strategies accordingly.

By applying predictive algorithms within OAC, you can assess potential risks and opportunities, thus allowing for proactive management and decision-making. This capability is crucial in various fields such as finance, healthcare, and marketing, where understanding potential future events can greatly enhance operational efficiency and strategic alignment.

In contrast, utilizing static reporting methods does not provide the dynamic insights required for forecasting; increasing server capacity does not directly relate to predictive analysis capabilities; and while eliminating data entry tasks might streamline processes, it does not contribute to the analysis of trends or future outcomes. Therefore, employing algorithms for identifying trends is the most relevant and effective way to use predictive analytics in OAC.