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Aggregated data

Aggregated data refers to the data created through aggregation performed on raw data. Such aggregations can be done by web analytics tools or, in more complex approaches, using BI tools to pull data from a data warehouse or other sources. Aggregated data is most commonly available in the UI of analytics platforms as reports, making it more accessible.

Aggregated data is readily interpretable through data transformation and analysis, making it easier to identify patterns, trends, or relationships. Visualizing the data doesn’t require extensive technical resources and skills. On the other hand, it’s not as flexible as raw data, making it more difficult to perform advanced statistical analysis.

Learn more:

  • Privacy by design in practice: How “just enough” data beats “just in case” collection

    While collecting more data “just in case” feels safer, according to Matt Gershoff, it’s also one of the biggest sources of unnecessary compliance risk, analytical noise, and wasted organizational resources in the analytics industry today. His approach of “just enough” data collection is more intentional, more aligned with privacy regulation, and often more analytically effective.

  • 4 ways to make your analytics HIPAA-compliant: Implementation guide

    Healthcare organizations have four main approaches to achieving HIPAA-compliant analytics. Each has different trade-offs in cost, technical complexity, and analytics capabilities. This guide compares all four implementation methods – from using Google Analytics with workarounds to deploying fully HIPAA-compliant analytics platforms – so you can choose the right approach for your organization’s needs and resources.

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