– Review and validate asset location data against online sources. – Identify inaccuracies, inconsistencies and edge cases requiring deeper. investigation. Conduct structured QA audits following ...

The Senior Data Quality Analyst is responsible for leading initiatives that ensure the accuracy, consistency, and reliability of the organisation’s data assets. This role involves designing and ...

Data quality is an essential aspect of any successful enterprise data management strategy. In today’s business environment, it is essential to maintain a high standard of data quality to support ...

Ben Jones is co-founder and CEO of Data Literacy, and the author of nine books on data and AI, including AI Literacy Fundamentals. In a world increasingly focused on data and AI, the role of the data ...

Greg DePersio has 13+ years of professional experience in sales and SEO and 3+ years as a writer and editor. Doretha Clemons, Ph.D., MBA, PMP, has been a corporate IT executive and professor for 34 ...

The importance of survivorship, known as the "Golden Record" in data terms, is quite often overlooked in the quest for clean and effective customer data. Yet this final step in the record matching and ...

Data quality refers to the accuracy, completeness and consistency of the information in an enterprise database. Discover the top 10 benefits of having data quality in your organization. Image: ...