Leading People at Work: Strategies for Talent Analytics

People analytics is a data-driven approach to improving people-related decisions for the purpose of advancing both individual and organizational success. This new program explores a number of strategies used to attract and retain top talent and illustrates how these strategies are being designed and used at cutting-edge companies.

While people have always been critical to the success of organizations, many business leaders still make key decisions about their workforce based on intuition, experience, advice, and guesswork. However, today’s leaders can improve their people decision-making based on the collection and systematic analysis of data. Leading People at Work: Strategies for Talent Analytics focuses on the strategies that can be used to successfully design and implement people analytics in an organization. Faculty draw on the latest practices and research to illustrate how leading companies are using cutting-edge techniques to analyze data about their employees to and make their organizations and their individual employees more successful. In doing so, we will explore areas where talent analytics are most effective, and where it is particularly important to incorporate them. Participants of this program will gain a deeper understanding of how and when people analytics can be applied to improve critical issues such as recruiting and hiring, performance evaluation, promotion and training, compensation, and organizational change.

The program takes the perspective of the general manager when examining how emerging big data analytical approaches applied to human resource management can be used to advance business objectives. By the end of this course, participants will understand how and when big data can be used to make key employee decisions, enabling executives to position themselves as a strategic partner in their company’s talent management.

This course is not intended to teach statistics or programming. Nor will this course cover the issues involved when gathering (and analyzing) data. Instead, it is intended to acquaint participants with key strategies for the design and implementation of people analytics in an organization.

The goal of this course is to prepare executives to wisely collect and use data to manage people at work.

Participants of this program will:

• Become familiar with the most relevant topics general managers face concerning the management of people.
• Learn a set of frameworks and theoretical models to help make key employee decisions.
• Be exposed to some of the most cutting-edge techniques used by companies to analyze data about their employees in order to make their organizations and their individual employees more successful.
• Understand how to apply big data analytics to identify, evaluate, and resolve a variety of challenges and issues relating to their workforce.

• Learn how to interpret and present the results of their analyses to make strategic people-related decision. (This course is not intended to teach statistics or programming.)

  By learning about strategies for talent analytics, participants will not only advance their company’s business objectives through the strategic management of people, but also their own career.

  Schedule

  DAY 1 SAMPLE

• 8:30 AM - 10:30 AM Introduction to Talent Analytics: Why Talent Analytics?

• 10:30 AM - 12:00 PM Introduction to Talent Analytics: Motivation at Work

• 12:00 PM - 1:00 PM Networking Lunch

• 1:00 PM - 3:00 PM Staffing Your Organization: Job Analysis, Competencies, and Individual Differences

• 3:00 PM - 5:00 PM Staffing Your Organization: Recruiting and Selecting Talent

• 5:00 PM - 7:00 PM Networking Reception

DAY 2 SAMPLE

• 8:30 AM - 10:00 AM Managing Performance: Performance Evaluation
• 10:15 AM - 11:45 AM Managing Performance: Rewarding Performance
• 11:45 AM - 12: 45 PM Networking Lunch
• 12: 45 PM - 2:30 PM Developing Talent and the Future of Your Organization: Training and Careers
• 2:30 PM - 4:00 PM Developing Talent and the Future of Your Organization: Organizational Change
• 4:00 PM - 4:30 PM Wrap up