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Context of data should be clear before data analysis

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Before data analysis is carried out, it is important to understand the context of the available data. For example, if we analyze hotel reviews data and draw conclusions without understanding the context of the hotel reviews, then we could be drawing totally wrong conclusions.  Let's assume that we have hotel reviews data. Firstly, we should ask several questions about the hotel reviews data before we try to find answers about business from hotel reviews data. Questions such as: Who is the provider of the reviews?  How are the reviews provided? When are the reviews provided?  What are the limitations involved in the review collection process? In how many languages can guests provide reviews in the reviews system? What % of the hotel guests provide reviews? What % of the hotel guests were able to read at least one of the languages in which reviews collection system works? Which channels are there for guests to provide reviews? When did review collection start? What is the sequence an

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