Trusted Discovery
Say you have the next killer enterprise application but you need rich data that works with your application. You want it to be clean, correct, complete and continuously updated so your users see the relevance in their Business Analytics. This is exactly what Paradata does.
Our platform has been extended, enhanced and expanded for the purposes of completing, correcting, and cleaning entity record sets about people, things, places, and events.
Trusted Discovery is extremely accurate, provides real-time results, scalable to terabyte sized datasets, can be invoked for any type of entity, is very difficult to spoof, and transparent to the user. It is new data structuring and authentication technology that enables sophisticated decision making based on comprehensive and validated entity data.
The science behind it
Below is a table of the features of Trusted Discovery Technology. The Platform includes a Discovery Engine Optimizer that simultaneously performs organic discovery (meaning discovery of data from public web sources) and custom discovery (meaning discovery of data from private web sources or online databases). We also leverage Trusted Discovery Technology for data staging services to clean and profile corrupted datasets from customers before enriching with new structured data.
The technology performs mathematical annealing using proprietary heuristic, stochastic, and forensic sciences useful for discovering, authenticating, verifying, and associating disparate data attributes across entity types and entity record sets.
Trusted Discovery Technology builds and maintains trustworthy entity record sets from unstructured data, including text and images. The resulting data works with enterprise applications demanding precise decision making technology that supports speed, accuracy and scalability.
Listed below are just a dozen of Trusted Discovery Technology’s major features and benefits.
- Discovers all attributes that exist online about the target entity along with an Authenticity Quotient for each contribution source as well as all attributes of the target entity profile.
- Structures a Verification Chain of evidence for each target entity profile and cyber-forensics to complete identity linkages from each attribute to another until the identity resolution meets the certainty requirements of the application.
- Records the historical chain of evidence throughout all phases of discovery.
- Leverages proprietary verification algorithms with proprietary profile banks to intelligently associate an entity type and collective identity indicators/contributors to other historical and current online and offline actions. Inputs of an investigation leverage hundreds of indicators.
- Sources for identity indicators/contributors may include publicly available data, privately acquired data, and data harvested via cyber-forensics.
- Detects entity knowledge gaps and missing data and intelligently searches out new data to continuously increase the Scaled Authenticity Quotient to approach perfection.
- Merges authenticated and verified updates with the original target entity.
- Automatically derives implicit and explicit facts discoverable between entity types and maps the intent of their Association as well as the strength of Relationship.
- Employs behavioral (soft) and explicit (hard) identity resolution indicators/contributors.
- Exploits multiple entity sets to derive information value.
- Technology for computing uncertainty of results from combining uncertain values. In particular, Associative Intent Technology for linking entities based on (possibly) complex criteria is an example of increasing the value of entities that can link to other entities.
- Provides both static (pre-computed links) and dynamic associations (join queries). Static bakes the “value” into the entity set. Dynamic derives the value on the fly. Associative Intent Technology provides User static links / attributes and computed dynamic associations.