An open platform is a framework that allows developers to build applications or services using publicly available application programming interfaces (APIs) and tools. This approach fosters collaboration and innovation by enabling developers to integrate their solutions with existing systems seamlessly. Open platforms often create ecosystems where users can share resources, contribute to ongoing development, and enhance functionalities. This collaborative method can significantly improve user experiences and drive technological advancements. 

Read our articles to learn more about analytics in open platforms:


  • 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.