Bad Data: Why We Measure the Wrong Things and Often Miss the Metrics That Matter 9781633885905

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Автор: Schryvers Peter (Питер Шриверс)
Название: Bad Data: Why We Measure the Wrong Things and Often Miss the Metrics That Matter
Перевод названия: Питер Шриверс: Плохие данные. Почему мы измеряем неправильные вещи и часто пропускаем метрики, котор
ISBN: 9781633885905
Издательство: NBN International
Классификация:

Торгово-промышленная деятельность и управление

ISBN-10: 1633885909
Обложка/Формат: Hardcover
Страницы: 288
Вес: 0.57 кг.
Дата издания: 15.11.2019
Язык: English
Иллюстрации: 0 illustrations, unspecified
Размер: 222 x 183 x 32
Читательская аудитория: General (us: trade)
Подзаголовок: Why we measure the wrong things and often miss the metrics that matter
Рейтинг:
Поставляется из: Англии
Описание: Highlights the pitfalls of data analysis and emphasizes the importance of using the appropriate metrics before making key decisions. Big data is often touted as the key to understanding almost every aspect of contemporary life. This critique of information hubris shows that even more important than data is finding the right metrics to evaluate it. The author, an expert in environmental design and city planning, examines the many ways in which we measure ourselves and our world. He dissects the metrics we apply to health, worker productivity, our childrens education, the quality of our environment, the effectiveness of leaders, the dynamics of the economy, and the overall well-being of the planet. Among the areas where the wrong metrics have led to poor outcomes, he cites the fee-for-service model of health care, corporate cultures that emphasize time spent on the job while overlooking key productivity measures, overreliance on standardized testing in education to the detriment of authentic learning, and a blinkered focus on carbon emissions, which underestimates the impact of industrial damage to our natural world. He also examines various communities and systems that have achieved better outcomes by adjusting the ways in which they measure data. The best results are attained by those that have learned not only what to measure and how to measure it, but what it all means. By highlighting the pitfalls inherent in data analysis, this illuminating book reminds us that not everything that can be counted really counts.

Bad Data: Why We Measure the Wrong Things and Often Miss the Metrics That Matter, Schryvers Peter