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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 |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Milwaukee, WI :
ASQ Quality Press,
[2021]
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 003 | OCoLC | ||
| 005 | 20231027140348.0 | ||
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| 020 | |a 9781951058166 |q (electronic bk.) | ||
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| 020 | |z 9781951058159 | ||
| 020 | |z 1951058151 | ||
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| 082 | 0 | 4 | |a 005.7 |2 22 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Mawby, William D., |e author. | |
| 245 | 1 | 0 | |a Navigating big data analytics : |b strategies for the quality systems analyst / |c William D. Mawby. |
| 264 | 1 | |a Milwaukee, WI : |b ASQ Quality Press, |c [2021] | |
| 300 | |a 1 online resource (vii, 123 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a An introduction to big data analytics -- Potential data problems and how they arise -- Designed experiments versus big data analysis -- The challenge of missing values -- The impact of poor randomization -- Expert opinion -- Censored data -- Other potential problems. | |
| 520 | |a 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. | ||
| 590 | |a Knovel |b ACADEMIC - General Engineering & Project Administration | ||
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Quality control. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Qualité |x Contrôle. | |
| 650 | 7 | |a quality control. |2 aat | |
| 650 | 7 | |a Big data |2 fast | |
| 650 | 7 | |a Quality control |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Mawby, William D. |t Navigating big data analytics. |d Milwaukee, WI : ASQ Quality Press, [2021] |z 9781951058159 |w (DLC) 2021939486 |w (OCoLC)1345219305 |
| 856 | 4 | 0 | |u https://appknovel.uam.elogim.com/kn/resources/kpNBDASQS1/toc |z Texto completo |
| 938 | |a EBSCOhost |b EBSC |n 3508458 | ||
| 938 | |a Askews and Holts Library Services |b ASKH |n AH41065402 | ||
| 938 | |a YBP Library Services |b YANK |n 303960347 | ||
| 938 | |a YBP Library Services |b YANK |n 18771611 | ||
| 994 | |a 92 |b IZTAP | ||