Prescriptive Analytics The Final Frontier for Evidence-based Management and Optimal Decision Making
“Prescriptive Analytics: The Final Frontier for Evidence-based Management and Optimal Decision Making” by Dursun Delen, published by Pearson on October 24, 2019, is a comprehensive exploration of prescriptive analytics and its critical role in effective decision-making. This edition, comprising 352 pages, provides insights into how prescriptive analytics can enhance decision-making processes by systematically evaluating choices and adapting to new opportunities and risks.
Readers will find a detailed examination of state-of-the-art methods in prescriptive analytics, including optimization, simulation, and multi-criteria decision-making techniques. The book balances theoretical frameworks with practical applications, featuring intuitive illustrations, realistic example problems, and real-world case studies. Topics such as business ethics, decision-making, and data science are woven throughout, offering valuable knowledge for both professionals and students looking to leverage analytics for improved management and operational effectiveness.
Official synopsis Publisher
Make Better Decisions, Leverage New Opportunities, and Automate Decisioning at Scale
Prescriptive analytics is more directly linked to successful decision-making than any other form of business analytics. It can help you systematically sort through your choices to optimize decisions, respond to new opportunities and risks with precision, and continually reflect new information into your decisioning process.
In Prescriptive Analytics, analytics expert Dr. Dursun Delen illuminates the field’s state-of-the-art methods, offering holistic insight for both professionals and students. Delen’s end-to-end, all-inclusive approach covers optimization, simulation, multi-criteria decision-making methods, inference- and heuristic-based decisioning, and more. Balancing theory and practice, he presents intuitive conceptual illustrations, realistic example problems, and real-world case studies-all designed to deliver knowledge you can use.
- Discover where prescriptive analytics fits and how it improves decision-making
- Identify optimal solutions for achieving an objective within real-world constraints
- Analyze complex systems via Monte-Carlo, discrete, and continuous simulations
- Apply powerful multi-criteria decision-making and mature expert systems and case-based reasoning
- Preview emerging techniques based on deep learning and cognitive computing
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