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Enriched Candidate Data: your secret weapon to discovering diverse talent in your existing talent pools

When you sort through inbound applications, how long does it take you to read through each resume? Do you even have the information you need to make the most informed decisions on who’s a good fit, and who isn’t? 

It’s fair to say that sorting through applications takes up a lot of time. Yet, a resume doesn’t even tell you much about an individual besides his or her work experience. What’s missing are things like how they identify, their interests, and what they care about as human beings. With Canvas's Enriched Candidate Data, you’ll get over 75 self-reported data points on all applicants to get a much more nuanced and well-rounded picture of your candidates. 

Every company is different — but Enriched Candidate Data unveils the diversity in your inbound pipeline so you can hire the best, most diverse talent 

As an official partner of Greenhouse, Lever, and Workday, Canvas provides you with a seamless 2-way ATS integration. This integration works together with Enriched Candidate Data to make it easier for you to streamline your workflow and discover the diversity already captured within your inbound pipelines.  

By connecting your ATS and inviting inbound applicants to create Canvas candidate profiles, you’ll get much more information on each individual than your ATS can handle. Plus, you’ll be able to sort and filter on any of the self-reported candidate data — so you can sift through your inbounds in minutes while finding the best-fit talent for your organization.

MongoDB exceeds their diversity hiring goals using Canvas's Enriched Candidate Data 

“Canvas has changed the way we recruit because we’re now able to source on inbounds based on different skill sets, universities, ethnicity, gender, interests, year in school, location preference—all different things that we can filter on now. This allows us to be much more strategic with our time.”

MongoDB’s talent team relies on Canvas's Enriched Candidate Data and filtering capabilities to hire candidates from all backgrounds. In 2019 alone, MongoDB hired all of its URM early-in-career talent through Canvas.

Instead of directly using their ATS system, the MongoDB team integrates their Greenhouse system with Canvas to get bi-directional syncs. MongoDB imports all their inbound applicants into Canvas to uncover the diversity in their pipelines and quickly identify top talent by filtering off self-reported candidate data points such as years of experience, demographic data, gender, ethnicity, and more. Having the data and information in one open, accessible place like Canvas gives the MongoDB’s team an advantage with speed. “If we had to look through applicants chronologically in our ATS, we wouldn’t be able to see who the talent is that would be good for us until it’s too late. Canvas allowed us to be quicker, more pragmatic, and thoughtful about all the different diversity initiatives and hiring initiatives that we have.”

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If you're interested in learning more, schedule a demo with one of our experts. Or, contact our team at [email protected]

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