Analytical Concepts for Leaders

Analytical Concepts for Leaders – to enhance decision making, planning, implementation and evaluation in complex systems.

Successfully leading and managing in a complex system requires high quality decision making based on sound reasoning and analysis. However, many leaders do not have a background in data, analytics and systems science. Despite the ever-increasing amount of data and sophistication of analytical methods, leaders can feel confused. For example:

• “I want greater use of predictive risk modelling to achieve earlier intervention in disease progression – what do I need to think about in assessing where such approaches will deliver value?”
• “How can we evaluate interventions before going live?”
• “I want to understand whether our initiatives to change patterns of demand are working – what do I need to be watching out for in analysis that addresses that?”
• “So much of the environment we work in generates uncertainty – how can we get better at working with uncertainty rather than being undermined by it?”
• “As we try to work as a system, what are some of the key tenets of system science that we should be aware of?”
• ‘How can data science and AI help us?’

This innovative course will offer powerful insights and approaches that allow you understand and address the sorts of questions described. This course is especially designed to explain key analytical concepts that are essential for leadership and management. This is not a statistics course!. Instead, the course is a unique blend of different domains on knowledge underpinned by analytical thinking that will help leaders to:

• Understand how to use data for improvement and learning
• Understand why plans are theories to aid learning which can be evaluated before going live
• Understand how to enhance decision making by embracing, not ignoring, uncertainty

The course will begin with an overview of decision quality and then use a series of Socratic exercises to provide an intuitive understanding of fundamental analytical concepts which will include (statistical process control, flaw-of-averages, regression to the mean, evaluating interventions and causal interpretation, and uncertainty) which will provide a strong basis for becoming more confident and effective canvassers and consumers of analytics in complex systems.

Your trainer: Professor Mohammed A Mohammed