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Uncertainty Modelling and Quality Control for Spatial Data

Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information;

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Uncertainty Modelling and Quality Control for Spatial Data

Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information;

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Journey to Data Quality

A guide for assessing an organization's data quality practice and a roadmap for implementing a viable data and information quality;

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Managing Data Quality

Data is an increasingly important business asset and enabler for organisational activities. Data quality is a key aspect of data management;

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Improving Data Warehouse and Business Information Quality

A comprehensive guide to quality improvement from the leading expert in information and data warehouse quality. Each year, companies lose;

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Journey to Data Quality

This is a guide for assessing an organization's data quality practice and a roadmap for implementing a viable data and information quality;

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Practitioners Gde Data Quality Improveme

The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing;

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Introduction to Information Quality

Fundamental Topics of Data Quality in Information Systems. They reviewed these topics via a survey of data quality experts at the International;

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Meeting the Challenges of Data Quality Management

Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its;

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Data Quality in Southeast Asia

benefits of a better vocabulary to discuss the quality of publicly available data to address the needs of all users. It introduces a rigorous;

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Data Quality And High-dimensional Data Analytics - Proceedings Of The Dasfaa 2008

Poor data quality is known to compromise the credibility and efficiency of commercial and public endeavours. Also, the importance;

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Competing with High Quality Data

Praise for Competing with High Quality Data : Without use of correct data and design principles, well functioning systems cannot be;

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Data Makes the Difference

Makes the Difference helps RNs understand how to use accurate and meaningful quality and safety data in their practice. It demystifies data and;

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Measuring Data Quality for Ongoing Improvement

The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You'll start with;

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Data Quality

Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness;

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Automating Quality Systems

is compatible with concepts of Total Quality Management. The integration of quality operations and data with other manufacturing sub-systems;

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Data Quality: Concepts, Methodologies and Techniques

Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness;

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Management of Data Quality in Enterprise Resource Planning Systems

, despite their success in the marketplace, ERP systems are exposed to a range of risks which endanger the quality of the data they process. In this;

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Spatial Data Quality

quality, leading to inaccurate results, uncertainty, error propagation, and potentially legal liability. Spatial data quality has become an;

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Data Quality

Can any subject inspire less excitement than "data quality"? Yet a moment's thought reveals the ever-growing importance of quality data;

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Water Quality Management

data is necessary and having enough data without proper interpretation is not helpful for water quality management decisions. Hence;

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Data Quality for the Information Age

This informative book goes beyond the technical aspects of data management to provide detailed analyses of quality problems and their;

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Fundamentals of Spatial Data Quality

This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making;

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United Nations national quality assurance frameworks manual for official statistics

participate in the production of official statistics. The Manual also addresses quality assurance in the use of different data sources and Sustainable;

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Testing the Data Warehouse Practicum

The quality of a data warehouse (DWH) is the elusive aspect of it, not because it is hard to achieve [once we agree what it is], but;

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Spatial Data Quality: From Process to Decisions

Data Quality: From Process to Decisions provides an up-to-date overview of scientific progress in this core sub-discipline of the Geographic;

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Robust Quality: Powerful Integration of Data Science and Process Engineering

Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data;

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