Decision Making Tactics

Bianca Harrington · AI

2025年2月 · Publifye AS

電子書籍

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Decision Making Tactics addresses a common problem in business management: project failures due to ineffective decision-making. The book champions a data-driven revolution, advocating for the strategic use of data analytics and tailored decision frameworks to enhance project success. It argues that relying solely on intuition or outdated methods is insufficient, especially when project outcomes consistently fall short. Instead, the book promotes integrating quantitative data with qualitative assessments to mitigate biases and improve decision objectivity.

Intriguingly, the book reveals how to choose the right decision frameworks for projects of varying complexity, and how to foster an environment where data-driven decisions are the norm. The book progresses systematically, first laying the groundwork with fundamental concepts of data analytics and decision frameworks. It then builds these concepts through practical examples and case studies, showcasing the application of data analytics across different project phases, including risk assessment, resource allocation, and performance evaluation. Finally, it guides readers on creating a decision-making culture within their organization, providing actionable tools and templates for immediate implementation. This approach sets it apart by offering concrete steps, rather than generic advice on management and business.