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Data quality is a function of data’s fitness for use to a particular purpose in a given context; measured against stated requirements or guidelines. Effective data quality policies support trust in operational and strategic decisions. Data Quality Management is a continuous process for specifying data quality characteristics that meet business needs, and for solving data quality challenges.
Most data quality experts identify 16 major characteristics that affect the quality of data and information. It is important to understand their context before examining
To enable information quality in any environment, it is essential to identify the collectors, consumers, and custodians of each item of information and define their
A key principle to start and sustain any successful business process is to “treat data and information as a product.” There are many issues related
Every organization needs a set of roles that are responsible for managing the quality of the data and metadata that are used in the enterprise’s
A CONVERSATION WITH TOM REDMAN : Data quality has been a continual challenge for almost every organization for many years. In this recap of a
Master data management continues to be plagued by poor data quality, costing many organizations time, money, lost customers, lost reputation and inefficiencies. Introduction In several
Data quality is a function of data’s fitness for use to a particular purpose in a given context; measured against stated requirements or guidelines. High
ISO 8000 defines the parameters of data quality, so one can ask for quality data and verify that one has received quality data Introduction It
