Data Literacy for HR Professionals
Build data literacy within the HR function
Contributors
- Néstor Ares, HRD Analytics & Processes Unit Chief, Inter-American Development Bank
- Nadia Bifolchi, Statistical Analyst, McLean & Company
- Luc Bourgeois, Consultant, HR Analytics & Reporting, TELUS
- Matt Burns, Chief Human Resources Officer, JYSK
- Ethan Burris, Associate Professor, University of Texas at Austin
- Henrique Hon, MBA, M.Eng., Research Assistant, Diversity Institute, Ted Rogers School of Management
- Juan Carlos Cabanillas Leon, Team Lead HR Effectiveness, Reporting & Analytics, Suncor Energy
- Roland Merbis, Director, Customer Insights & Analytics, Scotiabank
- Demitra Petrakis, Data & Reporting Analyst, Talent Analytics, Global Human Resources, Scotiabank
- Nancy Slawski, Senior Manager, Leadership Planning, Global HR, Scotiabank
Your Challenge
- Organizations are still relying on intuition and experience to make decisions about the workforce, not data.
- HR professionals are challenged to read and interpret scorecards, dashboards, and other data tools provided to them.
- HR professionals struggle to tell a story with data in a way that leads clients to action.
Our Advice
Critical Insight
- Data literacy is a core competency for all HR professionals.
- HR professionals don’t need to be statistical experts or data gurus to leverage available people data.
- Using data to inform decision making leads to better outcomes for the organization.
Impact and Result
- HR professionals will feel comfortable using tactics to interpret and communicate data.
- Decisions about the workforce or HR programs will be better informed by available data.
Build data literacy within the HR function
Train HR to interpret and communicate data to influence business decisions.
1. An introduction to data literacy
Introduce training participants to using data for HR.
2. Foundational data literacy
Build a foundation for data literacy with the HR department.
3. Data interpretation and storytelling
Begin interpreting and storytelling with data analysis.
Guided Implementations
This guided implementation is a one call advisory process.
