A dedicated database is a cloud-based solution that offers isolated storage for sensitive data, while sharing server resources for other types of data stored inside your analytics platform.
This setup combines the cost-efficiency of shared cloud resources with the security and performance benefits of isolated data storage. Using this deployment method helps you comply with privacy regulations, provides easy data access inside your organization, and improves scalability of your analytics infrastructure. All that makes it ideal for companies handling sensitive data, such as in healthcare or government sectors.
Read more: Dedicated database – a private cloud that perfectly combines security with cost-effectiveness
Dedicated database
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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.
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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.
Other definitions
Recent posts from Piwik PRO blog
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