System and method for improving data validation and synchronization across disparate parties
Abstract
Systems and methods allow for a variety of partners to store information in a database utilizing connected services to securely allow retrieval of such data by the partners. A collection of data points that make up a record allows for positive record matching. Individual data elements are generally stored for each partner connected to the record. Partners can only store data elements associated with a unique, known record. Numerous partners may contribute their data in the form of record components and each retains access rights to their own private data which is not shared within the platform. This allows for different data about the same record and data point to be stored by each party (partner). Partners can retrieve their own values should the need arise and also have access to the sureEcosystem Value for fields where the partner has contributed qualifying data. The sureEcosystem Value comes from an algorithm utilizing value frequency, submission dates, partner rankings, record owner input and other validation components in its analysis of contributed information to determine the value most likely accurate at any given time.
Claims
exact text as granted — not AI-modified1 . A method of storing individual data elements making up a record as tables, allowing multiple, disparate parties to perform some, or all, of the following actions: submit, store, query, retrieve, update, overwrite, or delete their own values for any element within a secure environment where parties share record and/or field designations but not necessarily data values and potentially not labels.
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