Analytics Plus Hiring: The Evolving Parameters and Employment Law Concerns

2023 Annual
Attendees will learn to use analytics to improve decisions on workforce talent acquisition, diversity, and employee retention.

As the world of work continues to evolve, HR professionals have found one critical aspect of their job is trying to find the right person for the right job. As countless strategies have been implemented to reduce turnover, most have produced modest results. HR departments are now using analytics to improve decisions on their workforce talent acquisition, diversity, and employee retention. This session will explain key concepts behind data analytics, identify the potential legal issues and discuss ways to mitigate the risk.

Learning Objectives:

  • How to implement analytics to enhance the employee life cycle.
  • Learn how analytics may impact organizations and potential legal issues.
  • Implementation of strategies to effectively screen out those most likely to turnover.

In-person session offerings are on a first-come, first-served basis.

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If a speaker has provided session materials, please visit https://presentations.shrm.org

Date(s) & Time(s): 
Tuesday, June 13, 2023 - 3:30pm to 4:30pm
Presenter: 

LaKisha M. Kinsey-Sallis

LaKisha M.
Kinsey-Sallis

LaKisha Kinsey-Sallis a partner with Fisher Phillips, has years of experience assisting businesses ranging from small start-ups to large well-established national corporations in employment law matters. LaKisha represents businesses in litigation of collective and class actions as well as single plaintiff claims and provides day-to-day advice on issues impacting the workplace. She develops and reviews handbooks, personnel policies, offers preventive strategies through management trainings and risk assessments. LaKisha is a sought-after speaker on emerging employment law trends and is active in her local community, using her involvement to bridge connections between her professional passions and love for volunteer work.

Location: 
W317
Session Type: 
Concurrent Session
Competency: 
Business (Behavioral)
People (Technical)
Intended Audience: 
Mid-Level
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