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This essay sheds light on what is data analytics, delineates the different types of data analytics, explicates how to implement data analytics, and demystifies the best type of data analytics for companies to implement. Succinctly stated, data analytics is deemed to be the process Succinctly stated, data analytics is deemed to be the process of analyzing data in order to glean insights from the data. The process of data analytics can be automated so that it is devoid of mental labor. Automating the process of data analytics can render it devoid of human errors. Furthermore, automating the process of data analytics can also streamline the process of data analytics. Moreover, automating the process of data analytics can also significantly accelerate the process of data analytics. The process of data analytics can vary based on the type of data analytics being implemented. The bevy of data analytics techniques that are harnessed in the process of data analytics can vary based on the type of data analytics being implemented. The totality of benefits of implementing data analytics can also vary based on the type of data analytics being implemented. The disparate types of data analytics can elicit different types of information. The information that can be elicited by data analytics techniques amid the data analytics process is delimited in scope by the limitations of the data analytics techniques. Even though the information that can be elicited by data analytics techniques amid the data analytics process is delimited in scope by the limitations of the data analytics techniques, it can nonetheless be useful to be taken into account before a company engages in the strategic planning decision-making process. It is beneficent to be well-informed about the contexts of prospective strategic planning decisions before engaging in the strategic planning decision-making process. There are a myriad of disparate types of data analytics.