Identifying all associated data entries linked with or referred to an Entity within and across multiple data silos, creating a single comprehensive view.
Cross database analytics, mapping, unification, integration, diagnostics, search, conflicting entries resolution, and reporting. All these in 40+ languages in the original Alphabets or transliterated forms.
The Real-world data is far from perfect, and there is no “one-format-for-all.” The purpose of the Entity resolution system is to overcome the plethora of customer data entered multiple times, in different data-structures, on different sources, by various people, each in its own way.
THE ENTITY RESOLUTION TECHNIQUE identifies data entries in a single data source and across multiple data silos that refer to the same real-world entity and linking these entries to create a golden record.
THE KEY CHALLENGES for entity resolution are in matching and resolving differences in record fields, that are strings without having a unique identifier for each record. Strong entity identifiers can be created from a combination of Names (of an individual, a company or other entities), and additional fields such as Address, IBAN, etc. Some of these fields are originally numbers, as an example: a Phone Number, that have different representations when received as a string, derived from different data sources.
Fincom’s Entity Resolution Tools operate across 40+ different languages in original alphabets or transliterations.
Phonetic Fingerprint technology accurately identifies Names, Addresses, e-mails and other data entries within and across 44 languages in the original alphabets. It also resolves spelling variations resulting from transliterations or spelling mistakes and is the only tool capable of resolving complex (structured or unstructured) names. The ability to accurately resolve cross-language entries ensures no Missed Hits and helps minimizing the rate of False Positives.
Allows entity resolution in a multilingual environment: “understanding” multilingual entries in their original representation, resolving entries across languages by using a common mathematical denominator. Fincom's ENTITY RESOLUTION TOOLS operate across 40+ different languages in original Alphabets and/or transliterated forms.
Enables accurate data entries comparison by automatically resolving different transliterations, pronunciations, and spelling variations, similar nearby names and ‘name distance’ thresholds.
Anonymizing data entries by converting Names into mathematical codes enables fully anonymized data sharing within and across organizations.
Creating a reliable baseline data-source, ensuring further uninterrupted and efficient data processing. Improving data management, mitigating errors and overcoming ambiguities caused by incorporating data from various data formats and/or languages.
Enables identification of customer’s data, without compromising privacy and GDPR compliance
The world’s data is growing faster and faster. The organizations are investing a lot of efforts in the maintenance of the data integrity. At the end of the day, what matters the most is our ability to SEE THROUGH this Ocean of Data, being able to make sense of it fast, concisely and accurately. This has become more and more challenging as we need to glide through different data sources, exchange between different data systems and organization subsidiaries. And whilst we do all that – we need to maintain a Unified View on our customers or on any other Entity of interest.
FINCOM’S ENHANCED ENTITY INTELLIGENCE helps achieving: