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Data Quality Management in the Data Age Excellence in Data Quality for Enhanced Digital Economic Growth

This book addresses data quality management for data markets, including foundational quality issues in modern data science. By clarifying the concept of data quality, its impact on real-world applications, and the challenges stemming from poor data quality, it will equip data scientists and engineer...

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Bibliographic Details
Main Author: Yu, Haiyan
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2024, 2024
Edition:1st ed. 2024
Series:SpringerBriefs in Service Science
Subjects:
Business Information Services
Big Data
Data Analysis And Big Data
Service Industries
Data Science
Database Management
It In Business
Services
Quantitative Research
Artificial Intelligence / Data Processing
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Introduction of data quality management
  • Quality management in Data Science
  • Pillars of data quality management
  • Tools of data quality management
  • Experimental designs for data quality control
  • High-quality data collection in data markets
  • Ghost data in data quality management
  • Summary

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