PARTNER PROGRAM: Using Data-Driven Analytics to Skill Your Workforce

  • 03 Sep 2020
  • 12:00 PM - 1:00 PM
  • Learning Delivered Right to Your Desk!

Registration

Partner Program - ATD Philadelphia | Thursday September 3 | 12-1 pm | Online


Using Data-Driven Analytics to Skill Your Workforce

Catherine Kovar

Principal Advisor of Customer Adoption for Kahuna Workforce Solutions


About This Event

Skills initiatives are a top priority for CEOs as more organizations look to develop their workforce to meet current and future demands. In this webinar, we will show you how competency data is used to skill your workforce and drive successful operations. You will also learn the answer to questions that have been challenging the business and L&D professionals for years.


Learning Objectives

At the end of this session, participants will be able to answer these questions:

  • Do you know what level of learning and training you need to deliver?

  • Do you know who needs what and when?

  • Do you know who the experts are within your company to better utilize their skills?

  • Is your company transparent in their career development?

 To register for this or other programs offered by ATD PHL, visit their website: www.tdphl.org


ATD Capability Model

This session complements the Data and Analytics capability. 



About Our Presenter

Catherine Kovar is a Principal Advisor of Customer Adoption for Kahuna Workforce Solutions. With over 30 years in the learning and development industry, she specializes in helping clients through change management when implementing a SaaS competency management system. Prior to Kahuna, Catherine was the Learning, Development and Competency Manager for Anadarko Petroleum and Services Training Manager for Cameron & OneSubsea, Schlumberger companies. She also spent time leading enterprise training initiatives in the IT industry where she designed and implemented technical training curriculums, accreditation, certification, and partner/channel programs for Hewlett Packard/Compaq Corporation, Next Step Learning, and Syncsort. 



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