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Prifina provides a new type of data architecture, where individuals own and hold their data (“user-held” data model). This enables new use cases and personal applications to be designed and built.
The user-held data model addresses typical challenges with utilizing data, such as;
- regulations concerning user data sharing
- commercial data sharing terms and conditions
- users hesitancy or consent in sharing sensitive data
- application usage privacy concerns
- technically available / restricted APIs
- availability of practical mock-up data for development purposes on new types of use cases
In addition to the architecture, Prifina provides developer resources and dynamic mock-up data to support the development of the qualified use cases.
Personal Data Engine
The Prifina personal data engine allows you to build apps on user held data. The end user connects their data sources to their Prifina account, the Prifina personal data engine normalizes and enriches that data, and exposes the normalized data models and dynamic mock-up data (not users actual data) to third party app developers to build new solutions and applications on top of. Developed applications run privately on ‘users-side’ on their real data, where apps can then interact with ‘service-side’ as needed for the use case in question. Apps can be built to react to the users data, but also learn and develop based on the users continuous data feed and behavior.
You can find;
- technical documentation on the Prifina platform here: http://docs.prifina.com/
- a starter repo for an application here: https://github.com/prifina/prifina-app-starter
Health, wellness and mobility data from popular sources with dynamic data generators to mockup and simulate utilizing realistic dummy data.
2- Data sources, available Prifina your data
Peruse data sources available to the users, and get access to real data (your data) to see data contents and models that can be used
Reference community applications and examples