Processing CV's, professional profiles and unstructured data
Three things to know:
- Integrated Professional Profiling: Reejig merges new applicant and employee data from customer systems with existing records, offering a comprehensive, real-time view of an individual's professional status.
- Cutting-Edge CV Parsing: Leveraging varied technologies, Reejig extracts structured data from diverse CV formats, ensuring an optimized and confidence-based parsing process.
- Public Data Enrichment: Beyond CVs, Reejig continuously enriches profiles using public professional data, crafting precise searches and addressing enrichment challenges head-on.
At the forefront of professional profiling, Reejig has pioneered a system that is not just a game-changer but is consistently adaptive to the complexities of the modern job market. Here's a deep dive into how Reejig creates and updates profiles, ensuring accuracy and relevance.
1. Application & Document Handling
When an applicant submits their information, including vital documents like CVs and cover letters, these details are primarily shared from the customer's Applicant Tracking System (ATS). Once in the Reejig environment, this freshly acquired data is meticulously merged with any pre-existing records of the same individual. This integration gives rise to an enriched, holistic view of a professional's current status.
To further amplify user convenience, these documents are made available in a format that supports swift searching. This means, even as the backend processing of these documents progresses, users can quickly sift through and identify relevant profiles.
2. The CV Parsing Process
Given the heterogeneous nature of CV formats, parsing them isn't straightforward. However, Reejig's robust methodology ensures data extraction with precision:
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Adaptable Parsing Techniques: Leveraging a suite of parsing technologies, Reejig can extract structured data from a myriad of document types. The strengths and weaknesses of these technologies vary, making them suitable for different document challenges.
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Handling CV Complexity: Modern CVs, with their tables, columns, images, and creative layouts, are a maze of information. No single tool guarantees impeccable parsing accuracy, but Reejig optimizes its process to get close.
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Structuring the Unstructured: Upon receiving a CV, the system starts deriving structured data, aiming to map work history, education, employers, and skills. The outcomes of this parsing come with a confidence measure. High-confidence results directly feed into profile updates, whereas low-confidence ones are re-routed for a second pass through another parsing engine.
3. Public Profile Enrichment
Beyond the data parsed from CVs, Reejig seeks further depth by tapping into public professional data:
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Crafting a Precise Search: Using “seed data” such as names, job titles, or locations, Reejig formulates searches that are more likely to find the right matches. However, names alone seldom suffice to establish identity conclusively.
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Navigating Enrichment Challenges: Several factors can hamper the enrichment process:
- Profiles set to private by the applicant.
- Significant inconsistencies in applicant data, leading to a confidence mismatch.
- Lack of adequate "seed data" due to ATS discrepancies or parsing failures.
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Continuous Enrichment: Whenever additional information becomes available, or when an event like a role-match occurs, Reejig re-initiates the enrichment. Absent these triggers, the system periodically refreshes profiles several times annually.
4. The Continuous Improvement Paradigm
Reejig doesn't rest on its laurels. The system is inherently designed for perpetual evolution. By actively monitoring confidence levels and responding to trigger events, Reejig constantly refines its AI-backed processes, ensuring that every professional profile remains both accurate and up-to-date.
In conclusion, Reejig's progressive approach to professional profiling underpins its commitment to providing users with the most comprehensive, accurate, and current insights into potential candidates.