Evaluating the Relevance of Data
In addition to data quality, we must also consider the relevance of the data to our particular needs. Determining the relevance of data to a business problem involves several methods, including defining clear business objectives and key performance indicators (KPIs) to guide the analysis, conducting thorough exploratory data analysis (EDA) to understand the characteristics and patterns within the data, leveraging domain expertise and subject matter knowledge to assess the potential impact of the data on solving the business problem, employing statistical techniques and machine learning models to identify correlations and predictive relationships between variables, conducting hypothesis testing to validate assumptions and hypotheses and engaging stakeholders to gather feedback and insights on the usefulness and relevance of the data in addressing the business problem.
Source: Enhance.training, https://www.youtube.com/watch?v=H1WPHl8hUtI
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