Thorsten Heilig and Ilhan Scheer, with support from US publisher John Wiley & Sons, examine the importance of psychological safety, team dynamics, and Pareto's second major theory in decision-making. Simultaneously, the role of technology, artificial intelligence, data analysis, and the significance of behavioral sciences for decision intelligence are discussed.
Through a combination of case studies, real-life examples, and expert advice, leaders are equipped with the necessary skills and knowledge to enable teams and businesses to make better decisions - even in the most difficult conditions.
The book links practical use cases along the supply chain, such as demand forecasting or replenishment planning, with real examples from various industries and simultaneously identifies opportunities and challenges for organizations and teams.
A comprehensive guide for leaders, brought together by the expertise and experience of Thorsten Heilig and Ilhan Scheer in decision intelligence, by drawing from various focal points in psychological safety, team dynamics, data science, technology, and Pareto-optimal optimization. The goal is to enable leaders and businesses to make better decisions, despite unimaginable uncertainties and challenges.
Data analytics and business intelligence can't keep up with the new reality. Businesses today must gain actionable, relevant insights to make better decisions in complexity and dynamics. In the coming years, decision intelligence will be one of the most important topics for businesses.
Decision Intelligence can be deployed along the entire supply chain - from raw materials, suppliers, manufacturing, logistics right up to retail and end consumers. Depending on the application area, various use cases are available, which are presented in the book using real examples.
The four Rs – Rhythm, Reflection, Rigor and Recovery – are guiding principles for creating a successful DI organization. By focusing on these key areas and integrating concepts such as agility, DevOps and Gung Ho, businesses can foster a data-driven, decision intelligence-focused culture that supports innovation, adaptability and long-term success, forming the basis of a DI organization.
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