Turn unstructured resumes and job postings into structured data
Complete and enhance your workforce data across systems in the Revelio Terminal. Resume and job posting parsing structures your data quickly, so you can scale operations and improve candidate selection.
Turn complete, accurate talent data into smarter hiring strategies and competitive insights.
Human Resources
- Benchmark with complete resume data
- Draw on a comprehensive skill taxonomy
Sales & Marketing Teams
- Surface new account and lead information
- Fill in missing contact information
Investment Firms
- Track founders and prioritize with prestige scores
- Spot new opportunities
Staffing Firms
- Parse candidate resumes at scale
- Match candidates to roles by skill and seniority
Enterprise Organizations
- Automate resume screening
- Apply consistent criteria to every application
Efficient resume & job posting parsing
Understand unstructured data with Revelio Labs parsing. Resumes and job postings are converted into 100+ real-time fields and enriched with salary, skills, seniority, prestige, contact information, and more.
Talk to an ExpertMultilingual with 30+ languages
Easy to configure
Bulk import capabilities
Comprehensive job and skill taxonomies
CCPA & GDPR compliant
Flexible delivery & integration
Enrich your data manually, in bulk, or through automated updates that keep every system current.
Talk to an Expert- Enrichment via
- CSV, API, or Data Feed
- Integrates with
- your ATS, CRM, and data platforms
What is data enrichment?
Data enrichment refers to the process of enhancing, refining, or expanding raw data to make it more valuable, insightful, and useful for analysis, decision-making, and various business purposes. This typically involves adding additional information to existing datasets or improving the quality and completeness of the data. By augmenting existing datasets with additional information or improving data quality, organizations can extract deeper insights and derive greater value from their data assets. This process often includes techniques such as adding supplementary data fields, standardizing formats, and validating accuracy against external sources or predefined criteria.
Resume and job posting parsing software play a crucial role in HR data enrichment by automating the extraction and categorization of relevant information from resumes and job postings. These tools use advanced algorithms to parse resumes and job descriptions, extracting key data points such as skills, experience, education, and qualifications. By integrating this parsed data into HR databases or applicant tracking systems, organizations can enrich their talent data more efficiently and accurately. This automation not only saves time and resources but also reduces the risk of manual errors and inconsistencies. Furthermore, by analyzing patterns and trends within the parsed data, HR professionals can gain valuable insights into market demand, skill trends, and candidate preferences, further enhancing their talent acquisition and management strategies.
Ultimately, data enrichment serves as a catalyst for innovation and growth, enabling organizations to leverage their data assets more effectively. Whether it's optimizing operational processes, understanding customer behavior, or identifying market trends, enriched data provides a solid foundation for informed decision-making and business success. By prioritizing data enrichment initiatives, organizations can unlock the full potential of their data, driving competitive advantage and fueling future growth.
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