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Robust Quality (Powerful Integration of Data Science and Process Engineering)

List Price: $68.99
SKU:
9780367780975
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  • Product Details

    Author:
    Rajesh Jugulum
    Format:
    Paperback
    Pages:
    142
    Publisher:
    CRC Press (March 31, 2021)
    Language:
    English
    ISBN-13:
    9780367780975
    Weight:
    7.625oz
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_260411045344499-20260411.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $68.99
    Series:
    Continuous Improvement Series
    Case Pack:
    34
    As low as:
    $65.54
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Audience:
    Professional and scholarly
    Country of Origin:
    United States
    Pub Discount:
    30
    Imprint:
    CRC Press
  • Overview

    Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance. This book provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better quality levels and takes you through a systematic approach to measure holistic quality with several case studies.



    Features:







    • Integrates data science, analytics and process engineering concepts


    • Discusses how to create value by considering data, analytics and processes


    • Examines metrics management technique that will help evaluate performance levels of processes, systems and models, including AI and machine learning approaches


    • Reviews a structured approach for analytics execution