Data Quality
Overview
Data created in the organization more often than not lacks the level of reliability, accuracy, and completeness needed for informed decision-making to occur. Our proven framework outlines a methodology and sequence of steps to perform recurring assessments of the quality of data across key sources. Our technical approaches provide options that can align to your desired outcomes, technical preferences, and budget.
Quality Components
Our agile framework for assessing data quality typically starts with profiling and includes the core components below:
  • Timeliness
  • Completeness
  • Reliability
  • Accuracy
  • Uniqueness
  • Structural Consistency
Etico, Inc