Make Data Actionable with Parsing & Enrichment
Revelio Lab’s data enrichment software enables you to complete, correct, and enhance your data across systems. Resume and job posting parsing will quickly structure as well as enrich your data, allowing you to scale operations and increase successful candidate selection.
Data Enrichment for Every Industry
Proactively enrich your talent data while ensuring data hygiene and integrity at every step. Complete and accurate data will yield deeper insights, empowering your business to effortlessly identify talent and seize new opportunities with precision.
Human Resources
Benchmark with complete resume dataLeverage a comprehensive skill taxonomy
Sales & Marketing Teams
Identify new account & lead informationFill in missing contact information 
Investment Firms
Track founders & prioritize with prestige scoreIdentify new opportunitiesy
Staffing Firms
Find the right talent quicklyProvide quality recommendations
Enterprise Organizations
Automate the resume screening processEncourage unbiased hiringEfficient Resume & Job Posting Parsing
Revelio Lab’s resume and job posting parsing converts unstructured data into 100+ data fields in real-time. Enrich the data that’s extracted and fill in the missing gaps with salary, skills, seniority, prestige, contact information and more.
Flexible Delivery & Integration
Enrich data manually, in bulk, or schedule automatic updates empowering you to retrieve and utilize data in the manner that best suits your business needs.
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.
