Data Reprocessing

RChilli provides a comprehensive solution that encompasses complete data reprocessing while utilizing our latest version. Our service ensures a seamless, safe, and secure experience for our clients. As part of the data reprocessing process, we efficiently handle resume processing from an ERP system and seamlessly update the results back within the ERP. With our professional approach, organizations can trust RChilli to effectively manage their data processing needs, maintaining data integrity and optimizing their workflows.

Who Needs Data Reprocessing?

Our customers who are parsing their data on an older version of our resume parser can upgrade to the latest version because of various reasons. These include more number of parsing fields available, support for newer languages and many more. Customers would require data reprocessing while upgrading to a newer version.

Benefits of Data Reprocessing

  • Better Results - Data reprocessing with a newer version of RChilli product will deliver better results. There will be more options for field mapping, resulting in more accurate results.

  • Quick Synchronization - RChilli can reprocess and migrate candidate and job data extremely fast.

  • Processing with Ease - RChilli simplifies the complex data structures and reprocesses with ease.



Our 9-Step Data Reprocessing Process

The top asset of any organization is its data. A data migration plan should be strategic, seamless, and secure.

RChilli understands the importance that data has for an organization. Our data reprocessing service takes care of the complete migration process when upgrading to a higher version

We Stick to Our 9-Step Data Reprocessing Process:

  • Getting access to the source dataset
  • Getting access to Target ERP
  • Setting rules for data normalizations
  • Mapping the data
  • Duplicacy Rule
  • Migrating the data & validating
  • Processing the data
  • Doing sample validation
  • Customer training, if required
We use the best-in-class technology that leaves no chance of the data getting lost during the migration process.

Use Cases of Data Reprocessing

1. Refresh/Reprocess Your Data

Customers can seamlessly migrate data structures from one ERP to the same ERP without any technical glitch. The data structure will be reprocessed according to the newer version and saved in the same ERP, keeping the migration safe and secure.

2. Data Reprocessing with Enrichment

While reprocessing the data, RChilli can also enrich it with updated information by using its taxonomies. For example, you can get updated candidate information of your passive resumes i.e new phone number, location of a candidate etc.

3. Recruitment Insights

Data reprocessing delivers the latest information which means you can generate recruitment insights on various parameters e.g. what are the skills most of the candidates in your system have or how many years of experience most of the candidates in your system have etc.

4. Remove Unconscious Bias

While reprocessing the data, you can choose to mask the fields for which you do not require information. RChilli uses resume redaction to provide such results. It is done to remove unconscious bias in recruitment that can occur with candidate information on gender, religion, color, etc.



About RChilli

RChilli is the trusted partner for parsing, matching, and data enrichment, providing companies, in 50+ countries, with solutions built for the future of technology and recruiting. RChilli’s innovative products, backed by an industry-leading tech stack, power the processing of 4.1 billion+ docs a year for 1600+ top global recruiting platforms. Enabling companies to hire better talent faster since 2010, RChilli is ISO 27001:2022, SOC 2 Type II, and HIPAA certified and GDPR compliant.

RChilli also has its multilingual resume parsing app available on Oracle Cloud Marketplace and Salesforce AppExchange.

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