5 common data aggregation mistakes and how to fix them

Data aggregation is the process where raw data is gathered and summarized in a quantitative format, and is typically used to gain macro insights from large amounts of data. A commonly known example of data aggregation is the Consumer Price Index (CPI) from the Department of Labor which aggregates price changes in a wide variety of goods and services to track the fluctuation of the cost of living in the U.S. Unfortunately, despite the importance of data aggregation and its potential to improve decision-making, organizations still make major data aggregation mistakes. 

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