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SOURCING, AGGREGATING AND INTEGRATING INFORMATION :explode: - Coggle…

- - - - Description: This is used when complete data is missing or unreliable. Estimates are made using related data.
        See the big picture when data is incomplete.
      - Example : :green_cross: If you don't have exact sales data, you might estimate the market size by adding your production volume to the estimated volumes of your competitors.
    - - Description: This involves using multiple sources of information to understand a situation better.
        Understand complex situations by looking at multiple sources.
      - Example : :green_cross: If Christmas sales are unexpectedly low, you might look at consumer confidence reports and interest rate changes to understand why people are spending less.
    - - Description: This uses current data to develop new metrics or prepare for advanced analysis.
        Combining existing data to make new useful metrics.
      - Example : :green_cross: A company might use the DuPont return on equity measure, which combines data on operating efficiency, asset use efficiency, and financial leverage to get a comprehensive view of performance.
    - - Description: This typically involves creating averages, indexes, or ratios.
        Making simple summaries like averages or ratios.
      - Example : :green_cross: Calculating the average order value per customer or the gross sales per employee to get a quick overview of performance.
    - - Description: This involves presenting various pieces of information together for convenience, even if they aren't directly related.
        Showing various data points together for a complete view.
      - Example : :green_cross: A Balanced Scorecard (BSC) might include different metrics like financial performance, customer satisfaction, and internal processes, all linked to strategic objectives to give a comprehensive view of the organization's performance.