Making High Quality Employee Decisions
This one-day program will showcase how to use statistical metrics to improve talent decisions, enhance talent and ultimately business value through utilizing people analytics. This course will also explore how to use data to combat beliefs, biases and stereotypes when choosing the right employees for your work environment.
8:30 a.m. – 4:30 p.m.
May 6, 2021
Cost: $995* and includes all class materials, breakfast, lunch and refreshments.
Certificates will be awarded based on successful completion of the 1-day training.
Click here to see the list of safety measures we are adding to our in-person programs.
* A 20 percent discount will be given to companies that enroll two or more employees.
* A 30 percent discount will be given to TCU Alumni and TCU Faculty/Staff.
* A 10 percent discount will be given to U.S. veterans and employees of non-profit organizations.
Who Should Attend?
- Executives seeking to build a value-add workforce by developing human and social capital
- Business leaders involved in hiring, compensating, training, and motivating employees
- Unit leaders concerned with staffing, building, and developing teams
- HR professionals and analysts
- Past participants of the leading with data analytics program looking for more in-depth training on using analytics to manage employees
What You Will Learn
- Learn frameworks for identifying, evaluating, and utilizing data in managerial decision making
- Deepen your knowledge of available statistical and analytic techniques for making high-quality decisions
- Enhance your ability to re-formulate "people problems" into questions data can answer
- Grow your understanding of how to convey analytics insights into actionable impact for the organization
- Discuss and identify the tripwires of politics and psychology that prevent data insights from creating organizational value
- Grain resources to facilitate your adaptation to complex future problems
- Emerging strategic role of people analytics
- Strategies for collecting, analyzing, and interpreting people-related data
- Statistical considerations in people analytics
- Psychology and evidence-based decision-making
- Project management in people analytics
- Emerging ethical and cultural considerations in people analytics