Data Quality Assessment
Data Quality Assessment is the capability to evaluate, analyze, and ensure the accuracy, consistency, and reliability of data. It involves identifying anomalies, errors, and inconsistencies in datasets, while understanding the implications of data quality on business outcomes and decision-making processes.
Level 1: Emerging
At an emerging level, you are beginning to understand and identify data quality issues. You can evaluate basic data integrity and use simple tools to detect and repair data errors.
Level 2: Proficient
At a proficient level you are able to independently assess data quality to identify inconsistencies, errors, and outliers using appropriate tools and methodologies, contributing to data accuracy and reliability within the organization.
Level 3: Advanced
At an advanced level, you are able to independently design and implement complex data quality assessment strategies, utilizing advanced statistical techniques and tools to ensure accuracy and reliability of data.
