Data Cleansing and Quality Policy

Author(s): Sean Burkett

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The data cleansing and quality policy ensures that all corporate data adheres to all the principles of data quality and is fit for its desired purpose. The policy establishes processes across all designated company systems to ensure that all corporate data is accurate, adequate, relevant, and timely. The overall goal of data cleansing/data quality is to instill an ethos of data input accuracy for each system, and ensure the appropriate and effective disposal of redundant information. With the data cleansing and quality policy, a given company will gain enhanced decision-making capabilities based on better quality of information and the ability to continually assess corporate systems, processes, and individuals.

Risks Addressed by Policy:

  • Increased operating costs.
  • Decreased organizational trust.
  • Decreased end-product quality.

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