- Tapa dura: 252 páginas
- Editor: Productivity Press; Edición: 1 (12 de enero de 2007)
- Idioma: Inglés
- ISBN-10: 1563273462
- ISBN-13: 978-1563273469
- Valoración media de los clientes: Sé el primero en opinar sobre este producto
- Clasificación en los más vendidos de Amazon: nº1.374.687 en Libros en idiomas extranjeros (Ver el Top 100 en Libros en idiomas extranjeros)
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Beyond the Balanced Scorecard: Improving Business Intelligence with Analytics (Inglés) Tapa dura – 12 ene 2007
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Improve the "Health" of Your Organization by Using the Right Metrics!
The vast majority of companies use some form of balanced scorecard to measure performance measu, yet recent research suggests that most scorecards are based on singular, unsophisticated measurements, providing flawed data on the state of the organization.
Beyond the Balanced Scorecard: Improving Business Intelligence with Analytics, by Mark Graham Brown, provides managers with the right metrics for evaluating important aspects of performance that are not accurately tracked by most companies and government organizations.
Leaders will learn how to objectively measure:
This book will show you how to construct a performance index, as well as provide you with example metrics of various aspects of performance that are difficult to measure.
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The operational definition of an analytic used by the author is "a metric made up of sub-metrics that are different variables and often units of measurement" where individual metrics and sub-metrics are weighted differently depending on impact/performance.
An introductory example used is the construction of a person's "Health" analytic consists of "History", "Health Statistics", and "Lifestyle" metrics (which become analytics). Each of these carries a weight rolling up into "Health", and each of these analytics is in turn composed of sub-metrics such as "Diet", "Exercise", "Medication", "Stress/Sleep", and "Vitamins" rolling up to the "Lifestyle" analytic, again with each sub-metric individually weighted. This may sound complex, but it isn't!
Aspects and observations that I found particularly interesting included:
- A basic model for helping companies to define their analytic architecture. This model takes into account the evolution of scorecards, the development of best practices, and recommendations on moving forward to develop a manageable set of analytics that are meaningful, contribute to success, and stay fresh over time.
- A discussion the top 10 problems with scorecards today including a failure to measure ethics, the fact that more measures are lagging, not predictive, and that scorecards are typically not deployed at all levels of an organization.
- New ways to think about customer relationship analytics, including an "attractiveness/relationship" index.
- The review of a "Brand" analytic including brand image and brand awareness.
- How "inputs", "process", "outputs", and "outcomes" are all measured and weighted.
- Crafting Project Management analytics that go beyond the triple constraint of budget, quality, and schedule.
- How to construct an "Enterprise Excellence" analytic.
- The caveat to select software with warning light capabilities for each analytic or metric. This flags to the user that even though an analytic may be green or yellow, something requiring more attention could soon get hot and appropriate drill-down is recommended.
I've only lightly touched upon the areas I found interesting and useful, and I appreciate the author's ability to be so comprehensive, understandable, and occasionally amusing. My only recommendation for improvement would be to increase the size of some of the figures to be a bit more readable.