Summary. What’s in it for your business.
USG People, a large provider of HR services in Europe, was faced with the challenge of receiving over 50,000 applications each month but only being able to place 10% of these candidates. With the help of Textkernel’s parsing, source, and match software, all candidate data are now automatically processed at a high level of data accuracy, allowing recruiters to place candidates faster and more efficiently.
The Company
About USG People
With brands such as Start People and Unique, USG People is one of the largest providers of HR services in Europe, with an annual revenue of €2.6 billion. More than 100,000 people are employed via RGF Staffing every day, working for 15,000 clients.
Ton Sluiter, Marketing Manager at USG People“Textkernel’s semantic search provides consultants not only with candidates they actually thought about, but also with useful suggestions of other suitable candidates. 75% of our consultants rate Textkernel’s interface as very user-friendly, which made an extensive training obsolete.”
THE challenge.
How to find the needle in a haystack
The many applications received each month by USG People, sometimes as high as 50,000, were stored in the different systems of various operating companies. 50% of these applicants were already in at least one of USG People’s databases.
Nevertheless, their consultants did not take advantage of this untapped resource of potential candidates.
Firstly, because they were mainly occupied with administrative processes and posting job ads and secondly because the search capabilities of those databases were far from optimal.
THE solution.
Keeping the data accuracy and adding a semantic search engine
The many applications received each month by USG People, sometimes as high as 50,000, were stored in the different systems of various operating companies. 50% of these applicants were already in at least one of USG People’s databases.
Nevertheless, their consultants did not take advantage of this untapped resource of potential candidates.
USG People implemented Textkernel’s CV parsing software which discarded manual data entry both for recruiters and applicants. It automatically processes all candidate data, while keeping a high level of data accuracy.
As a second step, RGF Staffing started to organize workshops with heavy LinkedIn and CV database users within the group and asked them to design their ideal platform for CV searching.
Based on these requirements they looked at three different providers of CV search technology and eventually selected Textkernel’s semantic search technology for finding candidates in their own database and external sources.
THE Result
One unified database, a semantic search engine and more revenue
After the implementation, USG People had an enormous amount of applications in its system, thousands of users, tens of thousands of searches per week and a large flow of new incoming CVs every day. USG People has already placed several candidates with its new semantically searchable database. Textkernel’s source and match technology has been an accelerator for sharing candidate data.
The willingness to share has grown and the fear of losing candidates to other subsidiaries turned out to be unfounded. On the contrary, sharing the profile data benefits both the consultant and the candidate.
