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Robust Quality: Powerful Integration of Data Science and Process Engineering
Contributor(s): Jugulum, Rajesh (Author)
ISBN: 1498781659     ISBN-13: 9781498781657
Publisher: CRC Press
OUR PRICE:   $109.25  
Product Type: Hardcover - Other Formats
Published: August 2018
Qty:
Additional Information
BISAC Categories:
- Business & Economics
- Computers | Databases - Data Mining
- Technology & Engineering | Quality Control
Series: Continuous Improvement
Physical Information: 0.38" H x 6.14" W x 9.21" (0.84 lbs) 124 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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