Granularity in Data Analysis

Granularity in data analysis refers to the level of detail or specificity in the data we collect and analyze. High granularity means having very detailed data points, such as daily sales numbers for individual products, while low granularity means more summarized data, like total monthly sales for a whole category. The choice of granularity affects insights: detailed data provides deeper understanding but may be more complex, while summarized data is simpler but may overlook important trends. Finding the right balance is key to effective analysis and decision-making.