Data aggregation provides a steady stream of insight for teams of all sizes. As such, it’s become an essential tool across many verticals, such as finance, energy and utilities, and healthcare. Below, we’ll look at the most common data aggregation mistakes and how they can be fixed.
Aggregated data is extremely valuable in a world with ever-increasing regulations on data sharing and security. 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.