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Historia
In 1990, IBM had its most profitable year ever. By 1993, the company was on a watch list for extinction, victimized by its own lumbering size, an insular corporate culture, and the PC era IBM had itself helped invent.
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Moderate Start, Picks up FAST!
- De Art H en 02-08-05
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Toyota Kata
- Managing People for Improvement, Adaptiveness and Superior Results
- De: Mike Rother
- Narrado por: Todd Belcher
- Duración: 7 h y 16 m
- Versión completa
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Historia
This game-changing book puts you behind the curtain at Toyota, providing new insight into the legendary automaker's management practices and offering practical guidance for leading and developing people in a way that makes the best use of their brainpower. Drawing on six years of research into Toyota's employee-management routines, Toyota Kata examines and elucidates, for the first time, the company's organizational routines - called kata - that power its success with continuous improvement and adaptation.
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Good deeper learning
- De bzymom en 02-25-24
De: Mike Rother
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The Amazon Way: Amazon's 14 Leadership Principles
- De: John Rossman, Tom Alberg - foreword
- Narrado por: Jeff Cummings
- Duración: 4 h y 40 m
- Versión completa
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The 3rd edition of The Amazon Way is one of the rare business leadership books giving actionable insights for innovation and business growth to be the basis for your digital transformation gameplan. The Amazon Way translates Amazon's unique culture and management practices into insights and opportunities, as only an Amazon executive and expert advisor could do for the Amazon Leadership Principles giving listeners one of the essential business leadership books for the digital era.
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Good overview about Amazon
- De MrsSnuggs0512 en 06-05-24
De: John Rossman, y otros
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Designing for Growth
- A Design Thinking Tool Kit for Managers
- De: Jeanne Liedtka, Tim Ogilvie
- Narrado por: Nicol Zanzarella
- Duración: 6 h y 35 m
- Versión completa
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Jeanne Liedtka and Tim Ogilvie educate listeners on one of the hottest trends in business development: "design thinking", or the ability to turn abstract ideas into practical applications for maximal business growth. Jeanne Liedtka's recent book, The Catalyst: How YOU Can Lead Extraordinary Growth, was named a Top Innovation and Design Thinking Book by Business Week. Tim Ogilvie has been hailed as a visionary for his pioneering contributions to service innovation, business model innovation, and customer experience design.
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Audiobook requires regular book
- De GoingGoingGone... en 07-01-18
De: Jeanne Liedtka, y otros
Lo que los oyentes dicen sobre Getting in Front on Data
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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- Ron Dennis
- 02-03-23
Recommending to my Executive Team
As a data professional, I'm immediately implementing some of the strategies described in this book, and recommending it to my Executive team.
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Ejecución
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Historia
- alendar
- 05-19-19
For those who want to change the data organization
Very practical understanding given by Thomas, of a very spaghetti-like problem. I am the king of the "hidden data factory," and I am very proud of it. It is one of the only things a person can be proud of. These upper echelon managers that Dr. Redman refers to, the champions of cross-departmental efforts at data process reform, don't exist. He must be hallucinating. Still, like unicorns, they are perfect and ideal.
I bought a physical copy of the book, to put on my desk at work, because my head manager asked during the interview, "What are the last two non-fiction books you've read?" I've lately realized that all of my managers wanted to see more "thinky" behavior from me, more awareness of the business rather than just an extreme tight focus on data.
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esto le resultó útil a 1 persona
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Ejecución
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Historia
- Vladimir Gutkovsky
- 01-26-23
Deceptive and pointless
I'm a data professional. This book misses the entire point of.... everything. It brings in deceptive analogies (dirty lakes of "data" water) and extreme examples (lost Mars rovers) and just weird nonsense (equating intentionally deceptive data to bad data) to make the case that data quality is the be-all and end-all consideration. Most importantly it bizarrely and repeatedly makes the point that data is either "good" or "bad." That's not the correct classification at all: it's whether or not it prevents you from making good/bad decisions, and how bad a bad decision actually is compared to a good one. Those of us living in the real world have to take small matters such as budget and cost-benefit into account. And, realistically, there are many levels of review in most organizations around surprising data results before any serious decisions are actioned.
Anyone who is actually worked on data strategy would know that this book doesn't hold water. I truly hope that everyone else who is reading this book as a primer doesn't take it as gospel.
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