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Data aggregation can provide insights into key metrics such as revenue growth, unit production, or earnings per customer. Internally, and especially with the improvements in analytics, data aggregation provides a steady stream of insight for teams of all sizes.
That’s because aggregate data is anonymized and doesn’t carry the same restrictions or consent obligations as personal identifiable information (PII).
Data can only be as useful as the questions asked of it. This becomes apparent through poor query formation leading to discrepancies between what decision-makers think they’re seeing and what the collected data actually says.
