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...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Milwaukee, WI :
ASQ Quality Press,
[2021]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource (vii, 123 pages) : illustrations. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781951058166 195105816X |
Internformat
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| 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. | ||
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| contents | 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. |
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| spelling | Mawby, William D., author. Navigating big data analytics : strategies for the quality systems analyst / William D. Mawby. Milwaukee, WI : ASQ Quality Press, [2021] 1 online resource (vii, 123 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Print version record. 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. 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. Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Quality control. http://id.loc.gov/authorities/subjects/sh85109440 Données volumineuses. Qualité Contrôle. quality control. aat Big data fast Quality control fast Print version: Mawby, William D. Navigating big data analytics. Milwaukee, WI : ASQ Quality Press, [2021] 9781951058159 (DLC) 2021939486 (OCoLC)1345219305 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3508458 Volltext |
| spellingShingle | Mawby, William D. Navigating big data analytics : strategies for the quality systems analyst / 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. Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Quality control. http://id.loc.gov/authorities/subjects/sh85109440 Données volumineuses. Qualité Contrôle. quality control. aat Big data fast Quality control fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2012003227 http://id.loc.gov/authorities/subjects/sh85109440 |
| title | Navigating big data analytics : strategies for the quality systems analyst / |
| title_auth | Navigating big data analytics : strategies for the quality systems analyst / |
| title_exact_search | Navigating big data analytics : strategies for the quality systems analyst / |
| title_full | Navigating big data analytics : strategies for the quality systems analyst / William D. Mawby. |
| title_fullStr | Navigating big data analytics : strategies for the quality systems analyst / William D. Mawby. |
| title_full_unstemmed | Navigating big data analytics : strategies for the quality systems analyst / William D. Mawby. |
| title_short | Navigating big data analytics : |
| title_sort | navigating big data analytics strategies for the quality systems analyst |
| title_sub | strategies for the quality systems analyst / |
| topic | Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Quality control. http://id.loc.gov/authorities/subjects/sh85109440 Données volumineuses. Qualité Contrôle. quality control. aat Big data fast Quality control fast |
| topic_facet | Big data. Quality control. Données volumineuses. Qualité Contrôle. quality control. Big data Quality control |
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