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About the course
Become a true strategic partner to the business by leveraging data and analytics to make strategic talent decisions. With HCI’s certification course, you’ll learn to effectively navigate the world of data and analytics by learning how to think analytically, understand basic statistical techniques, and connect talent management initiatives to bottom-line business impact.
Why Should You Attend?
Only 14% of HR departments are currently using data and analytics. The ability to leverage these skills in talent management decisions such as hiring, engagement, succession planning and internal mobility is necessary for businesses who wish to maintain a competitive edge. A keen understanding of analytics allows the HR practitioner to move from reporting the past to predicting the future.
HR practitioners are the stewards of immense amounts of people data. In order to use this data to make decisions that impact the business, HR leaders must become curators and storytellers that bridge the gap between numbers, figures and the people in the organization. These data-driven narratives allow you to confidently pull levers that have a predictable impact on the business. If you can predict it, you can improve it.
HCI’s Analytics for Talent Management course addresses the most common challenge faced by HR leaders when it comes to data and analytics—HR departments lack the skillsets necessary to truly leverage data to make decisions. This 2-day, interactive training will arm you with the terminology, skills and knowledge necessary to turn data into a compelling narrative and handle common objections to HR data findings. Notable topics covered in the course include:
- Confirmation bias
- Crafting good questions
- Using natural experiments and analytical models
- Understanding statistical algorithms
- Handling objections
- Data presentation approaches
- Practical example of applying data to talent management initiatives in talent acquisition, engagement, retention, and workforce planning
Who should attend
This course is valuable for everyone from mid-career HR professionals doing data analytics themselves, to senior HR leaders that need to build or enhance their knowledge of data and analytics for talent management. Individuals tasked with running analytics projects and initiatives within HR, such as employee engagement, workforce planning, and talent acquisition, as well as those that lead teams of statisticians and analysts, will also find the course invaluable. Sample titles include:
Talent Acquisition Manager, Director or VP
HR Manager or Director
Corporate or Executive Recruiter
People Analytics Lead
Trust the experts
Mark Allen is an educator, speaker, consultant, and author who specializes in talent management, corporate universities, and human resources. He is the author of Aha Moments in Talent Management, The Next Generation of Corporate Universities, and The Corporate University Handbook. In 2017, he was...
Bill Craib is a Senior Faculty Member at the Human Capital Institute and after serving in multiple executive roles over a 12-year tenure at HCI has been the Senior Vice President of Enterprise Learning since 2013. In this capacity, Bill has had the great pleasure to work with dozens of HCI client...
Jeanne Kerr has been a Sr. Faculty member with HCI since 2012. She is also the Director of Assessments and OD for Dale Carnegie Major Accounts and the Principle of Talent Insight Group, LLC. Jeanne has over 20 years of organizational development, instructional design and delivery, human capital s...
Mark Hacker is the managing director at Alta Leadership Group, a boutique consultancy based in Denver, Colorado that provides leadership development, performance management and executive-level coaching services to clients throughout the United States. Mark’s work as an HCI faculty member include...
Michele Croci is an expert Human Resource/Human Capital professional with 36 years of diverse experience designing and establishing enterprise- wide integrated talent management systems in diverse industries including electronics/entertainment, healthcare, insurance, banking, high-tech, and gover...