• Home
  • Latest
  • Fortune 500
  • Finance
  • Tech
  • Leadership
  • Lifestyle
  • Rankings
  • Multimedia
TechBig Data

Cornerstone OnDemand thinks big data can tell you who to hire

By
Jonathan Vanian
Jonathan Vanian
Down Arrow Button Icon
By
Jonathan Vanian
Jonathan Vanian
Down Arrow Button Icon
May 12, 2015, 8:00 AM ET
Employers Post Most Job Openings In Four Years In June
A "now hiring" sign is viewed in the window of a fast food restaurant in New York City.Photograph by Spencer Platt—Getty Images

Imagine this scenario: Acme Corporation, a maker of farming tools, is looking to hire a salesperson for an important new role spearheading its fertilizer supply business.

Ralph, a long-time employee, is the No. 1 choice based on his seniority and tenure. But the search is incomplete. The company just doesn’t know it. Right under its nose is Cynthia, a relatively new employee who has consistently closed deals since starting her job and who previously worked for a big-time fertilizer company.

Cornerstone OnDemand thinks it has the solution to this employee-hiring problem facing Acme as well as the thousands of real companies that deal with similar issues. Its software helps companies sift through data to pinpoint people like Cynthia for job openings that would otherwise slip under the radar.

Founded in 1999, Cornerstone sells customers human-resources software that they can access via its cloud data centers on a subscription basis, and takes in $280 million in annual revenue. The company currently counts Hitachi, Princess Cruise lines, The Ohio State University, and Fruit of the Loom among its roughly 2,100 clients.

On Tuesday, the Santa Monica, Calif. company is slated to unveil a new data analytics service that essentially automates an organization’s hiring process and helps companies ensure that their staff is being adequately trained. The basic premise behind the new service is that companies generate lots of data about their staff, but have little time to actually parse through the information to learn anything meaningful.

For example, a company may track certain worker performance metrics like how well a particular employee’s last three sales negotiations turned out. Companies that fail to go through the information can miss out on learning how effective their workers are.

Cornerstone (CSOD) claims its new data service is much quicker and reliable way to sift through all the data companies retain about their employees. The technology can, in theory, recommend different jobs for certain employees based on their skills and flag anyone who needs more training.

At the heart of Cornerstone’s new service are machine-learning algorithms that the company acquired when it bought out the big data startup Evolv in October for $42.5 million. The concept of using machine-learning algorithms within the workplace is now a hot niche as businesses increasingly turn to algorithms and huge data sets to help their management make better decisions.

Evolv, which sold data-analysis software for recruiters at companies like Xerox (XRX), bragged that its technology would help cut down on worker attrition and reveal the qualities that make for the best call-center workers. That technology is now incorporated into Cornerstone’s tools.

Using historical internal data, companies using the service can get information about 25 common employee-related issues and compare them against Cornerstone’s large data sets, explained Cornerstone vice president Jason Corsello. Workplace attrition rates, the best time of the week for employee training, and the kinds of potential hires who are likely to fail are just some of the topics that can be explored.

“This is a way to understand who your people are and how to make them more effective,” said Cornerstone CEO Adam Miller.

Businesses and their HR departments are increasingly interested in the type of data-analyzing services offered by Cornerstone and other companies as a way to hire better and maintain a well-trained staff, explained analyst Josh Bersin of Bersin & Associates, part of Deloitte Consulting. Companies maintain tons of data about their employees stored in their HR systems, but they don’t have any way to analyze that data without having to do it manually.

Cornerstone isn’t the only company touting the benefits of predictive analytics to help make businesses run better. For example, Santa Clara-based Palerra markets software that it says can recognize when an employee is up to no good. If workers peek into a particular sales database that they weren’t assigned to, Palerra’s software records the fact and warns management about the potential thievery.

What makes Cornerstone stand out, however, is the company’s enormous vats of client data that it’s obtained throughout the years. Miller believes this stored data will aid Evolv’s technology in learning new patterns and generating better predictions.

Still, we are a way’s away from being able to ask the software a specific set of questions and receive instantaneous answers, like something out of Star Trek. Users must choose from the set of predetermined queries.

“It’s a bit ambitious,” said Miller about eventually being able to ping the data on the fly and get an immediate answer about just anything. “I don’t think we are there now. Potentially over time, absolutely.”

The new data service is currently only available to select customers to test. But the company plans to roll out the service to the public later on this year. Cornerstone will charge companies based on how many employees they have and will be comparable to the company’s other products, although it will be a “little bit of a premium to what we generally do,” said Miller.

This article was updated with additional information.

For more about big data, watch this Fortune video:

About the Author
By Jonathan Vanian
LinkedIn iconTwitter icon

Jonathan Vanian is a former Fortune reporter. He covered business technology, cybersecurity, artificial intelligence, data privacy, and other topics.

See full bioRight Arrow Button Icon

Latest in Tech

Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025

Most Popular

Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Rankings
  • 100 Best Companies
  • Fortune 500
  • Global 500
  • Fortune 500 Europe
  • Most Powerful Women
  • Future 50
  • World’s Most Admired Companies
  • See All Rankings
Sections
  • Finance
  • Leadership
  • Success
  • Tech
  • Asia
  • Europe
  • Environment
  • Fortune Crypto
  • Health
  • Retail
  • Lifestyle
  • Politics
  • Newsletters
  • Magazine
  • Features
  • Commentary
  • Mpw
  • CEO Initiative
  • Conferences
  • Personal Finance
  • Education
Customer Support
  • Frequently Asked Questions
  • Customer Service Portal
  • Privacy Policy
  • Terms Of Use
  • Single Issues For Purchase
  • International Print
Commercial Services
  • Advertising
  • Fortune Brand Studio
  • Fortune Analytics
  • Fortune Conferences
  • Business Development
About Us
  • About Us
  • Editorial Calendar
  • Press Center
  • Work At Fortune
  • Diversity And Inclusion
  • Terms And Conditions
  • Site Map
  • Facebook icon
  • Twitter icon
  • LinkedIn icon
  • Instagram icon
  • Pinterest icon

Most Popular

placeholder alt text
Economy
Elon Musk warns the U.S. is '1,000% going to go bankrupt' unless AI and robotics save the economy from crushing debt
By Jason MaFebruary 7, 2026
1 day ago
placeholder alt text
Success
Gen Z Patriots quarterback Drake Maye still drives a 2015 pickup truck even after it broke down on the highway—despite his $37 million contract
By Sasha RogelbergFebruary 7, 2026
2 days ago
placeholder alt text
Success
Even with $850 billion to his name, Elon Musk admits ‘money can’t buy happiness.’ But billionaire Mark Cuban says it’s not so simple
By Preston ForeFebruary 6, 2026
2 days ago
placeholder alt text
Future of Work
Anthropic cofounder says studying the humanities will be 'more important than ever' and reveals what the AI company looks for when hiring
By Jason MaFebruary 7, 2026
1 day ago
placeholder alt text
Commentary
America marks its 250th birthday with a fading dream—the first time that younger generations will make less than their parents
By Mark Robert Rank and The ConversationFebruary 8, 2026
15 hours ago
placeholder alt text
Economy
Russian officials are warning Putin that a financial crisis could arrive this summer, report says, while his war on Ukraine becomes too big to fail
By Jason MaFebruary 8, 2026
6 hours ago

© 2026 Fortune Media IP Limited. All Rights Reserved. Use of this site constitutes acceptance of our Terms of Use and Privacy Policy | CA Notice at Collection and Privacy Notice | Do Not Sell/Share My Personal Information
FORTUNE is a trademark of Fortune Media IP Limited, registered in the U.S. and other countries. FORTUNE may receive compensation for some links to products and services on this website. Offers may be subject to change without notice.


Latest in Tech

InvestingVenture Capital
NFL legend Joe Montana lived around top VC execs as a 49er, then leveraged those ties to launch his second career as an investor
By Jason MaFebruary 8, 2026
9 hours ago
CybersecurityJeffrey Epstein
FBI found little evidence Epstein ran a sex trafficking ring for powerful men and concluded a ‘client list’ doesn’t exist
By Michael R. Sisak, David B. Caruso, Larry Neumeister and The Associated PressFebruary 8, 2026
11 hours ago
RetailEurope
Trump’s Greenland crisis triggered a surge in apps designed to help shoppers boycott U.S. goods, though few American imports are on store shelves
By James Brooks and The Associated PressFebruary 8, 2026
12 hours ago
nfl
CommentaryTV
The Super Bowl was made for TV and instant replay was made for visual AI. Here’s how it could be better and what it would look like
By Jason CorsoFebruary 8, 2026
13 hours ago
monkey
CybersecurityAnimals
One way AI won’t ruin the world: tools to crack down on the $23 billion animal trafficking trade
By Eve Bohnett and The ConversationFebruary 8, 2026
14 hours ago
heacock
CommentaryLeadership
I’m a CEO who grew a ‘boring’ air filter business into a $260 million company, and AI is going to help blue-collar, everyday people just like me
By David HeacockFebruary 8, 2026
14 hours ago