RChilli's data migration service provides the users a seamless solution for transferring data from legacy platforms to the current system.
The process not only ensures that data is successfully migrated without any technical glitches, but also enhances and enriches it using advanced Resume/JD parser. The solution maps the data as per the new data location and shares a detailed analytical report after complete data evaluation.
First-time Users
When new clients start using ATS for the first time, their requirement is to upload old Resumes/Jobs into the new ATS. They can do this via RChilli Bulk import product, where ATS can upload resumes to an FTP location, and RChilli will parse and push data to ATS.
Migrating Users
When new customers of an ATS want to migrate data from an old ATS, they want to migrate Candidates, Jobs, Notes, Users, Interview schedules, and other information. This needs planning and manual transfer. The old ATS gives export of data, and the new ATS needs to manually map the old ATS to new ATS fields. Once the mapping is done, data restructuring is required, and final import is done into the new ATS.
The common migration activities RChilli carries out as part of the data migration process includes migrating:
With RChilli, source data can be easily parsed and migrated, including any custom fields required for the target database. This means that not only will the parsed data be transferred, but any additional fields specific to your target system will also be included in the migration. The list of resume parser fields that RChilli migrates include:
RChilli's Job parser is designed to efficiently parse source job data, including any custom fields required for the target system. The categories of job parser data include:
RChilli offers the latest taxonomies for Degree, Skills, Institute, and Job Profile, which can be seamlessly migrated as required. By referring to the header details of the RChilli taxonomies, the data for these headers can be easily migrated to the corresponding target database headers.
4.1 Degree Taxonomy Header
With RChilli's Enrich application, you can access candidate data from a variety of social media sources, such as LinkedIn and other social networking sites. The table below dictates the information that can be sourced from social sites including: