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This essay sheds light on what is prescriptive analytics, demystifies how to implement prescriptive analytics, delineates the benefits of companies leveraging prescriptive analytics, and expounds upon the problems with companies not implementing prescriptive analytics. Succinctly stated, prescriptive analytics is deemed to be "a type of data analytics" that refers to the practice of harnessing artificial intelligence techniques to recommend courses of action for companies to implement. Artificial intelligence techniques can be leveraged to not only comprehensively understand the data, but to also recommend befitting courses of action for companies to implement. Engaging in prescriptive analytics can render it possible for companies to receive guidance during the strategic planning decision-making process. Companies should aim implement prudent strategic planning decisions. Furthermore, companies should also aim to bolster their operational efficiencies. Engaging in prescriptive analytics can be an act of prudence since it can render it possible for companies to be at a higher probability to implement provident strategic decisions in which the data that is meticulously analyzed by artificial intelligence techniques to recommend courses of action is characterized by validity and reliability. Even though engaging in prescriptive analytics can render it possible for companies to ascertain the befitting courses of action for them to implement, there is, however, no guarantee that implementing these recommended courses of action will yield desirable outcomes for companies in the pending future. This is because the future is enigmatic and obscured behind a penumbra of time. Engaging in prescriptive analytics can also aid companies in expediting the strategic planning decision-making process. This is because engaging in prescriptive analytics can significantly reduce lag in the strategic planning decision-making process.