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Recorded Webinar

Expert Webinar: The Total Economic Impact (TM) of HR Acuity

Speakers

Jennifer Adams

TEI Consultant from Forrester Consulting

Generating 520% ROI with HR Acuity

Featuring Featuring Jennifer Adams of Forrester consulting

 

Join HR Acuity and Forrester Research for real-world perspective on managing today’s workplace risks – and how HR Acuity can help.

In today’s volatile work environment, managing employee issues and investigations is essential. Employees are a company’s most valued asset, and the most successful companies maximize the employee effectiveness by creating a fair and safe work environment.

In this webinar, Jennifer Adams, TEI Consultant from Forrester Consulting, will review the results of a study commissioned by HR Acuity, which provides an employee relations technology solution that helps its customers implement employee relations best practices.

Jennifer presents the key findings of the Forrester Total Economic Impact (TEI) study, including:

  • A typical customer profile, based on interviews with five users of the system
  • Use cases and applications
  • The potential return on investment (ROI) enterprises may realize by deploying HR Acuity’s Employee Relations case management system

This session was held on September 24. Register on the right to watch the replay!

https://cdn2.hubspot.net/hubfs/2930928/Content%20Downloads/Content%20%7C%20Webinar%20%7C%20Video%20%7C%20Forrester%20The%20Total%20Economic%20Impact%20(TM)%20of%20HR%20Acuity.mp4?__hstc=25571618.636a1cf274f9b766ee68c10a42765ca9.1632770316852.1642082327824.1642095410270.119&__hssc=25571618.10.1642095410270&__hsfp=2956229566&submissionGuid=9db022eb-5809-4d91-8adb-28f86bacde43
https://cdn2.hubspot.net/hubfs/2930928/Content%20Downloads/Content%20%7C%20Webinar%20%7C%20Video%20%7C%20Forrester%20The%20Total%20Economic%20Impact%20(TM)%20of%20HR%20Acuity.mp4?__hstc=25571618.636a1cf274f9b766ee68c10a42765ca9.1632770316852.1642082327824.1642095410270.119&__hssc=25571618.10.1642095410270&__hsfp=2956229566&submissionGuid=9db022eb-5809-4d91-8adb-28f86bacde43
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