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Allegis Group: Finding the Right Employee for Every Position with Machine Learning

Allegis Group, the global leader in talent solutions, has built a landing zone for data engineering, operational database, and analytic database workloads, that delivers more insights to clients, consultants, and employees by enabling machine learning and boosting performance by four times. 

Overview

With 500+ offices across 60 countries, Allegis Group was built upon three promises:

  • To clients: Allegis Group will work your hardest requirement, and will not rest until we have the right candidate.
  • To consultants: Allegis Group will get to know you, your skills, goals, and interests to make sure we find the right opportunity.
  • To employees: If you give us your all, work harder than you thought possible and embrace the Allegis Group culture then we will pour even more into you and, together we will achieve things you never thought possible.

Allegis Group, with its specialized network of companies including Aerotek, TEKsystems, Aston Carter, Allegis Global Solutions, Major, Lindsey & Africa, Allegis Partners, MarketSource, EASi, The Stamford Group and GettingHired, is delivering more value to clients, consultants, and employees today with an enterprise data hub (EDH) that offers deeper insights at four times the speed.

Impact

Finding and matching the right candidate with the right job is one of the keys to success at Allegis Group. Allegis Group’s data hub on Cloudera Enterprise parses and searches through 55 million résumés, using machine learning to “auto-match” the right candidate with the right client, four times faster than could be done via manual efforts before. The result: more jobs are filled faster and with greater success.

The machine learning platform also draws inferences that were previously impossible. For example, as Salema Rice, Allegis Group’ Chief Data Officer -- Global Head of Data, Analytics & Information Management, explained, “If you don’t put the word Basel on your résumé, but you worked at an international bank, we can apply machine learning to derive through other enriched data whether you have Basel experience. We’re learning now what the power of data can really do for us.”  

To clients, Allegis Group offers more value than before, providing insights about, for instance, how the roles and skills its clients are hiring for compare to peers in other industries or regions.

The possibilities are endless,” said Rice. “Pretend you have a crystal ball and you can ask any question. What is that question? How do we use data to provide you the most value? Those are the use cases we want to start putting through Cloudera.”

Business Drivers

In an industry historically driven by relationships, Allegis Group saw an opportunity to capitalize on its leadership position by becoming truly data driven. The company laid out a 30-plus-year strategy to leverage data and analytics at the core of its operations, establishing three goals:

  • Use data as an asset.
  • Use analytics to uncover the value of data overall.
  • Enable data governance to ensure proper use of client information.

Allegis Group staff used to manually search through résumés to match candidates with opportunities. “We wanted to go deeper,” explained Rice. “We wanted to learn more about our customers, about the people we interact with, and help them find value with our data by delivering information they didn’t already know.”

The legacy relational database relied on aggregates. To find deeper insights, Allegis Group needed to ingest multi-structured data from a variety of data sources. And even with a shared IT organization, Allegis Group had data silos within each of its operating companies that needed to be coalesced.

Solution

Allegis Group's Cloudera platform acts as a multi-tenant enterprise data hub, supporting diverse workloads and data sets across a wide range of users. Apache Spark and Informatica power data engineering workloads—enriching, cleansing, and transforming the data for other uses. This data is made available to data scientists for machine learning, analytic database workloads for self-service BI using Apache Impala (incubating), and full-text search. As an operational database, the platform is also able to index data in real time with Apache HBase.

The data hub brings together data from:

  • Allegis Group’s worldwide offices and data marts
  • Enterprise resource planning (ERP) systems
  • Competitive intelligence
  • 200 million Voice of the Customer program surveys
  • Third-party career sites
  • The Bureau of Labor Statistics
  • The US census

Because Allegis Group collects a lot of information about people, data governance to ensure job seeker privacy was a critical part of its decision to build the data hub on Cloudera.

“As our global markets face safe harbor and general data protection regulations (GDPR), we wanted our customers to know not only is their data safe, but that we put those same principles behind our data,” said Rice. “Not just because we have to for regulatory purposes, but because it is a best practice. With Cloudera Navigator, we’re able to do that.”

Since rolling out the new data platform, Allegis Group’s IT organization is seen internally as a problem solver that provides not just data but insights and analytics as well. IT employees have embraced the data science training offered to them in partnership with Cloudera University.

Allegis Group also appreciated Cloudera’s value-based approach.

 We’ve engaged with the full Cloudera stack, as well as professional services and training. They walked through our road map, felt our pain, and wanted to help. They provided solutions, not just software. Solutions architects have really gotten to know us, understanding how we work and what we really want to solve. And because they’ve taken that deep dive, they’ve been able to show us how to solution different problems, using different parts of the stack. Having that partnership has made such a huge difference.”