- Tapa dura: 240 páginas
- Editor: Harvard Business School Press (1 de marzo de 2007)
- Idioma: Inglés
- ISBN-10: 1422103323
- ISBN-13: 978-1422103326
- Valoración media de los clientes: 1 opinión de cliente
- Clasificación en los más vendidos de Amazon: nº24.628 en Libros en idiomas extranjeros (Ver el Top 100 en Libros en idiomas extranjeros)
Competing on Analytics: The New Science of Winning (Inglés) Tapa dura – 1 mar 2007
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Descripción del producto
"[the] seminal work, Competing on Analytics, helped shape the evolution of the discipline of business analytics." -- Health Data Management "Harvard Business School Press, Davenport in particular, has produced some excellent books on competitive analytics and the like, with good case studies..." - ZD Net
Reseña del editor
You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool.
In Competing on Analytics: The New Science of Winning , Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling.
Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.Ver Descripción del producto
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1. Analytics supports a strategic, distinctive capability
2. Approach to and management of analytics is enterprise-wide
3. Senior management is committed to the use of analytics
4. The company makes a significant, strategic bet on Analytics
In my opinion, the fourth item is really redundant, as the investment in obtaining and implementing the first criteria would satisfy the fourth. But the other three are critical. Included in both #2 and #3 is the requirement of an evidence-based decision making criteria. This is what I expect most companies will have an issue with. While the book mentions the difficulty in changing the culture and the potential for a virtual war between the "quants" and the "old guard", there are not really any good suggestions for overcoming it. The one suggestion given, proving it on a smaller scale won't work, because "proof" is not relevant for those who believe the gut is better than evidence.
That said, for those who can appreciate the value of evidence, this book provides much of it. Perhaps the best is the fact how the book describes Capital One carefully targeting sub-prime risks using analytics. Since the book was published, that market in general has collapsed, but Capital one is doing fairly well. The chapters on how to build the technical and people aspects raise good points, but are far from thorough.
In short, this book is a great overview, and provides many good ideas to consider, but it should not be confused as a how-to book.
If you are experienced in using analytics, design and use data collection tools, or using Business Intelligence, the book might bring you little value. I was constantly reading it and looking forward for the real meat, but it didn't really appeared. I certainly will keep it to use as a reference in the future, but still looking for books to provide deeper insights on the subject.