People Analytics

Part 1

Strategic Positioning - How do you establish a people analytics function?

• Gain an overview of the people analytics landscape.
• Determine the ideal structure and placement of your team.
• Understand how this function empowers leadership to inform, optimize, and align with corporate objectives.
• Secure your role as an expert service that enables decision-making for the business.
• Identify the skills, goals, and resources needed to reach professional and functional maturity.

Part 2

Achieving Operational Excellence with Data: How do you organize and leverage existing data within your organization?

• Identify and manage key stakeholders.
• Develop a pragmatic approach to people analytics projects.
• Find opportunities within the data and vice versa.
• Pinpoint where relevant data resides within organizations.
• Recognize the key advantages of data warehouses.
• Conceptualize the role of data warehousing in strategy.

Transforming the Workplace - What is your vision for the future of work?

• Analyze the inherent limitations of people analytics techniques within ethical scenarios.
• Develop strategies for mitigating the diverse risks that arise when applying machine learning to organizational challenges.
• Define a personal vision of how people analytics technologies should adhere to principles of ethical leadership, corporate social responsibility, and values-oriented algorithm design.
• Examine how people analytics can positively transform society and the workplace.

Part 3

Root Cause Analysis and Project Tactics - How do you ensure you address the right problem within the right timeframe?

• Develop project management plans for people analytics.
• Explore unconventional hypotheses.
• Break down symptoms of people-related challenges into their constituent parts.
• Uncover root causes and address them intelligently.
• Designing Successful Experiments - How can you achieve scientific rigour and quality in complex and dynamic organizational settings?
• Design experiments and develop scientific hypotheses.
• Compare underlying measurement principles behind experimental designs.
• Conclude data analysis and communicate results to senior leadership.
• Apply scientific methods to resolve practical organizational challenges.

Part 4

Psychometrics - What role do latent traits play in governing workplace behaviour and how can psychological data enhance people analytics efforts?

• Assess the influence of latent psychological traits on workplace behaviour.
• Define criteria to evaluate psychometric tests.
• Present opportunities and limitations of psychometric data in strategic decision-making.

Part 5

Organizational Data

• Translate an organizational issue into a data question.
• Address corporate challenges using both structured interviews and unstructured text analytics.
• Become fluent in statistical and data science terminology at a high level to lead data scientists effectively.
• Understand the process of moving from description to prediction to prescription.
• Recognize the differences between machine learning, AI, and other predictive models.
• Analyze prepared code and simulated organizational data, including internal news boards, managerial reviews, employee surveys, emails, and unstructured text data.
• Deliver written and oral communications to keep stakeholders engaged and committed to the success of the people analytics function.