Navigating Big Data Analytics: Strategies for the Quality Systems Analyst
(eBook)

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Published
ASQ Quality Press, 2021.
Status
Available Online

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Format
eBook
Language
English
ISBN
9781951058166

Citations

APA Citation, 7th Edition (style guide)

William D. Mawby., & William D. Mawby|AUTHOR. (2021). Navigating Big Data Analytics: Strategies for the Quality Systems Analyst . ASQ Quality Press.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

William D. Mawby and William D. Mawby|AUTHOR. 2021. Navigating Big Data Analytics: Strategies for the Quality Systems Analyst. ASQ Quality Press.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

William D. Mawby and William D. Mawby|AUTHOR. Navigating Big Data Analytics: Strategies for the Quality Systems Analyst ASQ Quality Press, 2021.

MLA Citation, 9th Edition (style guide)

William D. Mawby, and William D. Mawby|AUTHOR. Navigating Big Data Analytics: Strategies for the Quality Systems Analyst ASQ Quality Press, 2021.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID7d3641c5-9902-37f3-ba03-574c99a14eb3-eng
Full titlenavigating big data analytics strategies for the quality systems analyst
Authormawby william d
Grouping Categorybook
Last Update2023-09-05 18:01:08PM
Last Indexed2024-03-27 04:31:18AM

Book Cover Information

Image Sourcehoopla
First LoadedJun 23, 2023
Last UsedSep 11, 2023

Hoopla Extract Information

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    [synopsis] => 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, William Mawby 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.
William D. Mawby, Ph.D. has extensive consulting, teaching, and project experience and has taught more than 200 courses on many subjects in statistics and mathematics. He is currently writing, teaching courses on climate change and big data, and volunteering at the American Association for the Advancement of Science and the Union of Concerned Scientists.
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