Information Quality Management (IQM)

What is Information Quality Management (IQM)

Information Quality Management (IQM) refers to the process of ensuring that the data and information used within an organization is accurate, complete, reliable, and relevant to the needs of the users. It involves establishing policies, procedures, and standards for collecting, storing, and using data, as well as monitoring and evaluating the quality of the information on an ongoing basis.

There are several key components of IQM, including:

  1. Data Governance: This involves establishing policies and procedures for managing data, including who has access to it and how it is used.
  2. Data quality assurance: This involves identifying and addressing issues with data quality, such as errors, inconsistencies, or missing data.
  3. Data quality improvement: This involves implementing processes and technologies to improve the quality of data, such as data cleansing or data enrichment.
  4. Data quality measurement: This involves using metrics and benchmarks to assess the quality of data and identify areas for improvement.

Overall, the goal of IQM is to ensure that the data and information used within an organization is of high quality and can be trusted to support decision-making and drive business results.

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