Chinmay Kakatkar

Conceptual Frameworks (eBook, ePUB)

A Guide to Structuring Analyses, Decisions and Presentations

• Format: ePub

Produktbeschreibung

Conceptual Frameworks can help you structure complex analyses, make better decisions and deliver persuasive presentations. This is the first book of its kind to bring together the most common framework types in a single, quick and easy-to-use guide to framework-building. The framework types discussed in this book are: * Hierarchies (or tree diagrams) for drilling down into problems to identify key drivers. * Matrices (including the 2x2 matrix and larger multidimensional tables) for comparing factors and analyzing trade-offs. * Processes (linear and iterative) for mapping out and executing plans. * Relationships for representing transactions, membership, and causal and correlational links among people and other entities. In Conceptual Frameworks you will learn how to snap together a small set of "building blocks" (framework types and dimensions) to come up with useful frameworks for your particular situation. The concepts described in this book have been validated time and again in academia and industry in the past. The combination of straightforward explanations, examples of relatable real-life applications, prompts for the reader, and collection of top tips and further reading makes Conceptual Frameworks a practically relevant reference for everyone - from students that want to become more insightful and achieve better grades, to professionals that want to become more effective and boost their careers.

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Produktdetails

• Verlag: BoD - Books on Demand
• Seitenzahl: 112
• Erscheinungstermin: 20. November 2018
• Englisch
• ISBN-13: 9783752869798
• Artikelnr.: 53531609

Autorenporträt

Dr. Chinmay Kakatkar is passionate about helping others derive value from data. Professionally, he has worked closely with companies from a range of different industries to tackle strategic business problems using a combination of conceptual frameworks and data science. His PhD research at the Ludwig Maximilian University of Munich focused on network analysis. He also has a BEng in Computing from Imperial College London, and an MPhil in Technology Policy from the University of Cambridge.