Data-Driven Decision-Making

Barwis, Andrew

ISBN 10: 1643436236 / ISBN 13: 9781643436234

Editore: Beaver's Pond Press, 2023

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80 pages. 7.50x5.50x0.19 inches. In Stock.

Codice articolo x-1643436236

Dati bibliografici

• Titolo: Data-Driven Decision-Making
• Editore: Beaver's Pond Press
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 1643436236
• ISBN 13: 9781643436234
• Rilegatura: Paperback
• Condizione: Brand New
• Peso: 0,15 chilogrammi

Descrizione articolo

Riassunto

Embark on a captivating fable inspired by Dante’s Purgatorio where a lost soul learns the art of data-driven decision-making. Through formidable challenges, readers gain profound insights into the transformative power of analytical reasoning and the rewards of solving problems with technique instead of assumption.

Inside the book, find:

• an industry-proven, step-by-step process for data-driven decision-making
• illumination of how this process informs engineering management
• specific pitfalls to avoid

This book is sure to improve your team’s productivity.

Informazioni sull?autore

Andrew Barwis is a writer, software engineer, and Dante enthusiast. Originally from Milwaukee, Wisconsin, Andrew now lives in Minneapolis, Minnesota, where he solves technical problems from a deep underground bunker. He works at every scale, from FAANG companies down to the smallest startup. On the rare occasion that he makes it above ground, Andrew enjoys biking, canoeing, and dabbling in his wood shop. He believes a good question is worth a dozen good answers and in data-driven decision-making.