We're excited to introduce Multi-Source Employee Data, a powerful solution that delivers extended information about professionals' experience, qualifications, and skills—all in one dataset.
The dataset includes over 725+ million data records with over 250 unique data fields across 10+ categories, providing a comprehensive view of professional experience. This dataset is also available via a highly scalable API.
Here's a snippet of some of the main data collections included in the dataset:
- Active experience overview
- Recent experience changes
- Professional contact information
- Projected base salary
- Employer's details (firmographics, social media, locations)
- Education
- Skills
- Projects and patents
- Recommendations
- Repository overview
Multi-Source Employee Data is the latest addition to our multi-source data solutions that enable users to build products and improve large-scale data analysis with exceptionally comprehensive web data, thanks to the variety of information aspects it covers.
How is this dataset created?
Here are the data processing steps that go into creating the Multi-Source Employee Dataset:
- Cleaning. Standardizing and normalizing data fields.
- Enrichment. We add additional fields from other sources.
- Mapping. We map the cleaned data to additional sources and unify everything into a single output.
What are the key benefits?
- Simplified data integration. Eliminates the need to purchase and integrate multiple data sources separately; the data is already structured, normalized, and cleaned, requiring significantly less engineering effort.
- Shorter time to value. All of the above results in a ready-to-use, unified dataset that unlocks immediate access to insights from multiple sources.
- More comprehensive information about qualifications. Besides key details about the employee and their qualifications, data is enriched with additional information about their technical skills, compensation, current job position, employer, and education institution.
- Additional insights. Dedicated fields make it easy to track career changes.
Who should use this dataset?
Whether sourcing talent, looking for decision-makers, or enriching your existing records, our multi-source approach ensures you see the complete picture. It helps you find the signals you are looking for.
Such data is beneficial for companies working in the HR or sales technology industries and investors looking for unique investment opportunities.
Regarding HR technology, the key benefit of our Multi-Source Employee Data is that information that helps you understand a candidate's qualifications is combined into one record.
- This data can be used to power a data-driven recruitment database or other tools that are being created to improve these HR processes.
- Specific data fields make it easier to evaluate skills. For example, data on public repositories allow you better to understand the technical expertise of a potential new hire.
Sales technology companies often look for decision-makers or are interested in connecting the dots between company and employee data.
- Dedicated data fields, such as is_decision_maker or those indicating specific department and management level make your search effortless.
- Professional contact information and a whole collection of data fields about the employer save lots of time that are typically spent combining multiple data sources on your own.
Lastly, in the investment industry, the value often lies in identifying unique opportunities first, which requires reliable and fresh data.
- This enhanced dataset meets both of these criteria while also providing multi-source information for generating unique investment signals faster, such as insights about talent movement between companies, employees’ technical expertise, or the company's organizational structure.
Getting started
Our experienced team of data experts is ready to discuss your use case and how you can leverage this dataset.
API users can test the Multi-Source Employee API with a playground anytime by signing up and starting their free trial.
If you prefer exploring data at your own pace, see the Multi-Source Employee Data documentation.
