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Navigating big data analytics : strategies for the quality systems analyst /
More organizations and their leaders are looking to big data to transform processes and elevate the quality of products and services. Yet, gathering and storing large amounts of data isn't the quick fix often sought after. Without analysts—the human component—to interpret that data, the cost of...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Milwaukee, WI :
ASQ Quality Press,
[2021]
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | More organizations and their leaders are looking to big data to transform processes and elevate the quality of products and services. Yet, gathering and storing large amounts of data isn't the quick fix often sought after. Without analysts—the human component—to interpret that data, the cost of incorrect or misinterpreted data can greatly impact organizations. In this book, author examines the claims of big data analysis in detail. Using examples to illustrate potential problems that may lead to inefficient and inaccurate results, Mawby helps practitioners avoid potential pitfalls and offers application methods to incorporate big data analytics into your company that will enhance your analytic efforts. |
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| Descripción Física: | 1 online resource (vii, 123 pages) : illustrations. |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781951058166 195105816X |