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This essay sheds light on what is diagnostic analytics, demystifies how to implement diagnostic analytics, delineates the benefits of companies leveraging diagnostic analytics, and expounds upon the problems with companies not implementing diagnostic analytics. Succinctly stated, diagnostic analytics is deemed to be "a type of data analytics" that refers to the practice of harnessing data analysis techniques to discover the root causes of issues. Data analysis techniques can be leveraged to not only comprehensively ascertain the root causes of issues, but to also to identify the correlations between the variables that elicited these issues. Engaging in diagnostic 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. Identifying the root causes of intricate issues renders it is less cumbersome for companies to remedy intricate issues. Part of the strategic planning decision-making process can entail identifying intricate issues and identifying the root causes of intricate issues before implementing remedial measures to resolve intricate issues. Companies should aim to rectify calamitous issues that undermine their operational efficiencies. Furthermore, companies should also aim to significantly bolster their operational efficiencies. Engaging in diagnostic analytics can be an act of prudence since it can render it possible for companies at a higher probability to implement provident strategic decisions in which the data that is meticulously analyzed by data analysis techniques to pinpoint the root causes of intricate issues is characterized by validity and reliability.