Data Quality Assurance

Creating the right data management policies, procedures, and processes to ensure it remains accurate, secure, accessible, and usable for analytics insights should be a top priority.

Companies implement procedures and workflows, and then further customise their solutions, without ever auditing the implementation to ensure ongoing data accuracy. This leads to poor data quality, inaccuracies, gaps and/or information that’s simply missing.

The reason substantial amount of money is spent on capturing geoscientific data is to provide reliable information on which you can base crucial decisions. Inaccurate data can lead you to make poor decisions, drill in the wrong place or to drill more than you need, costing you time and money on bad decisions that could have been avoided.

Benefits of efficient data quality assurance system:

  • Accuracy
  • Increased Trust
  • Consistency
  • Accessibility
  • Usable
  • Security
  • Value
  • Increase ROI
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