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We offer Data Quality Assessment (DQA) to help organizations identify and address data quality issues, ensuring that data used for decision-making is both precise and reliable. Our systematic approach aligns with internationally recognized standards that is accomplished by validating the reported data and assessing the data management and reporting systems to ensure they meet standards such as validity, integrity, accuracy, reliability, and timeliness
Ensuring that data have a sufficient level of detail to support informed management decisions, with an acceptable margin of error relative to the change being measured
Ensuring that data accurately represent the intended result or indicator, reflecting true performance or conditions
Protecting data from bias, errors, or manipulation through robust safeguards and procedures
Ensuring data are current, available, and accessible when needed to inform timely decision-making
Confirming that data collection processes are stable, consistent, and reproducible over time, enabling comparability across periods
