Candidate Data Reprocessing/Data Enhancer

Make recruiting decisions backed by the most reliable data.

Candidate information that is out of date, disorganized, redundant, or potentially biased is a major disadvantage to any recruiting team. Our Data Reprocessing/Data Enhancer service meticulously transforms messy candidate information to ensure that it’s accurate, up to date, and optimized to improve your team’s decision making and streamline your workflows.

Consistent & Standardized Data

We parse and update your candidate files to give you data that is consistent and complete across your resume database in the Oracle environment. And we apply our robust taxonomies to normalize critical fields such as Skills, Job Titles, Degrees, and Addresses/Locations. Your team will be able to analyze candidate data and match the right people to the right jobs far more effectively.

The Benefits of Data Reprocessing/Data Enhancer include:

Redaction of Sensitive Information

Our AI-backed process intelligently analyzes resumes and securely redacts and encodes 30 specific fields in the Oracle environment. These fields include personal details like name, date of birth, gender, contact information, nationality, and more.

Duplicate Data
Check

Duplicate candidate records are automatically detected and removed based on email addresses, phone numbers, timestamps of additions or updates, and other key criteria.

A Meticulous Data Transformation

RChilli reprocesses your data using a meticulous 9-step process that’s seamless, speedy, and secure. This includes setting rules for data normalization, mapping your data, conducting a sample validation, and much more. We also migrate and validate your data if you’re upgrading to a higher version of our Parser.