Leading with Decision-Driven Analytics
Leading with Decision-Driven Analytics
People in companies typically make hundreds of decisions every day; some of them have long-term implications. But big data and smart technology are changing the process of decision-making. This three-day programme will teach you new ways of thinking to keep your decision-making relevant.
This programme aims to help managers understand how the mind works, and how to use this understanding for professional success. You will learn to:
- identify any ‘illusions of understanding’ in your organisation and improve your ability to recognise and deal with the unconscious biases that give rise to it
- adapt your organisation’s decision-making according to new technology such as AI and machine learning
- allow your organisation to benefit from the latest research into how consumers actually make decisions about money, time, products, and services
- deal with uncertainty and risk, and the process of ‘separating signal from noise’
- apply principles of social influence to consumers’ decisions and those in your organisation
- incorporate behavioural economics in your organisation.
Leading with Decision-Driven Analytics is a module of RSM’s Advanced Management and Leadership Programme (AMLP), but can also be followed separately. The intensive modular management programme will sharpen your critical thinking skills and enable you to enhance your impact as a leader.
This programme is designed for experienced managers and consultants from organisations of all sizes and from various functional areas including operations, marketing, innovation and human resources, who are seeking to deepen their executive decision-making skills. An evaluation is part of the selection process.
Participants will learn as much from each other as from the faculty. To ensure a diverse and high-quality group, all applicants to the programme will be required to undergo a short intake discussion with an RSM staff member. This way we can guarantee that the programme is suitable for you. You should comply with the following requirements if you wish to take part in the Rules for Effective Decision-Making programme:
- You have a minimum of 5 years of managerial experience
- You have budget responsibility and have financial impact in your organisation
- You have responsibility in the strategic decision-making process in your organisation.
Your application will be final once we have informed you on the basis of the intake call that your application has been accepted.
“The abundance of data and the potentials of AI and technology are immense. But it is humbling to realise that we professionals are often the limiting factor to effective decision making. During this three-day journey our personal experiences and company routines were challenged by scientific insights as well as pragmatic tools. We were really made to ‘think about thinking’ for not only the process structure of decision making, but also about properly defining problems, the powers and pitfalls of data presentation, and the adverse effects of human biases and behaviour.
“I became much more aware of my personal contribution to effective decision making. The application of several of the findings from this programme will definitely help me and my company to improve the quality of our decisions.”
Mike van Meurs, CFO/COO, Brabant Development Agency
"The course gave me valuable insights on a broad scale of aspects that can influence the process of decision-making, as well as (inconsistent) human behaviour and the way data and new technology can be used to validate or influence the process of decision-making. The balance between the practical approach and the scientific understanding of the decision making process was an inspiring journey that actually exceeded my expectations. The interactive lectures and assignments gave me a lot of energy and uncovered new ideas and insights for looking at the decision-making process, as well as scientific knowledge that I can use."
Vincent de Bruyn, manager fleet services operations, Athlon
"The three intense days of lectures, discussions, knowledge-sharing and reflecting were led by two inspiring tutors. We discussed several insights that I will implement in my organisation, particularly relating to prediction modelling and ways to structure inventive thinking. I believe attending Rules for Effective Decision Making has expanded my skill set as a manager and entrepreneur, and that was exactly what I was looking for."
Rodolfo Groenewoud van Vliet, business Director, In4Art
During the Leading with Decision-Driven Analytics Programme you will learn from Dr Bart de Langhe and Prof. Stefano Puntoni. Occasionally we may substitute other faculty members according to the content of the programme and their availability.
Dr Bart de Langhe
Bart de Langhe is a visiting faculty member at RSM, and an associate professor of marketing at ESADE in Barcelona. He taught and researched at universities in Europe as well as in the USA and China. He researches the psychology of consumer and managerial decision-making, with an emphasis on data-driven decisions. His research is published in leading academic journals such as Journal of Consumer Research, Journal of Marketing Research, and Management Science, as well as managerial publications such as Harvard Business Review, The Wall Street Journal, and The New York Times. The Marketing Science Institute recognised him as one of the most promising young marketing academics in 2017.
Prof. Stefano Puntoni
Stefano Puntoni is a professor of marketing at RSM. He teaches marketing strategy, brand management and decision-making, and has taught at Lancaster University, London Business School, Bocconi University and the American University in Cairo. The Financial Times named him a ‘Professor to Watch’. He researches how new technology is changing consumption and society, focusing on automation, artificial intelligence and technological unemployment. He is an MSI Scholar, and has won several grants and awards. His research on branding and consumer behaviour has appeared in many leading journals. He holds a PhD in marketing from London Business School and a degree in statistics from the University of Padova.
€ 3,200 (excl. 21% VAT) including course materials, lunches, and snacks. This fee does not include hotel accommodation.
10% discount for alumni from Erasmus University Rotterdam and RSM. More information about the discount.
General terms and conditions
Our general terms and conditions apply when you register for an open programme. Please review them to learn more about our policies for cancellation, deferral and substitution.
The programme takes place in the Bayle building on the Woudestein Campus of Erasmus University Rotterdam.
We recommend Novotel Rotterdam Brainpark Hotel, adjacent to the university and less than five minutes’ walk from campus. Participants benefit from special rates.