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

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

Data governance, data integrity, and data quality are all widely used terms, but what do they actually mean and how are they connected? Nomenclature is important. Data governance, data integrity, and ...

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 ...

Data quality assessments help you avoid introducing errors into your database. Learn how they work and why you need them. Image: Sikov/Adobe Stock Data quality assessments have the same goal that data ...

Data quality in the modern economy, where data-driving action is critical to business success, can no longer be perceived as mere tech detail. Business leaders increasingly use data to make strategic ...

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 ...

Microsoft has recently launched an interesting opportunity. It is for those who want to enhance their data analytics skills. Yes! You read that right. It is a free Data Analyst Course and you get a ...

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: ...