Programme Content
Module 1: Strategic positioning
Learn how to change perceptions of people analytics from a reporting function to an expert strategic and decision-enabling service.
Identify the skills and tools to establish a cutting-edge people analytics function.
Module 2: Achieving operational excellence with data
Understand how to manage key stakeholders in your organisation.
Organise and leverage the resources that already exist within your organisation.
Discover the benefits of data warehouses.
Module 3: Root cause analysis and project tactics
Explore how to solve problems within the appropriate timeframe.
Learn to create project management plans for people analytics.
Discuss how to manage competing stakeholder interests.
Module 4: Designing successful experiments
Achieve scientific rigour and quality within complex dynamic organisational settings.
Gain hands-on experience designing people analytics experiments within an organisational context.
Compare measurement principles behind different designs and draw conclusions from data analysis.
Module 5: Psychometrics
Understand the role latent psychological traits have in governing workplace behaviour.
Use psychological data to augment your people analytics efforts.
Explore the opportunities and limitations of psychometric data in strategic decision-making.
Module 6: Organisational data science
Understand how to move from description to prediction.
Discover what people analytics projects involve in practice.
Become fluent in statistical and data science terms on a high level.
Module 7: Organisational data science
Learn how to safely and consistently integrate data into your communication and decision-making strategies.
Debate the differences between machine learning, AI and various predictive models.
Understand how to move from prediction to prescription and analyse code and simulated organisational data.
Module 8: Transforming the workplace
Establish your personal vision for the future of work.
Discover how to use people analytics to achieve positive change in individuals, organisations and society.
Develop strategies to mitigate the risks involved in applying machine learning to organisational challenges.
Consider how to incorporate ethical leadership, corporate social responsibility and values-oriented algorithms into people analytics.
