Considering a career as a data analyst or data engineer? Explore the differences between the roles and how they collaborate in the tech world.

In the fast-changing field of artificial intelligence (AI), the importance of high-quality data can’t be overstated.

Data Analyst Data Analysts mostly work with an organization’s structured data. They create reports, dashboards and other visualizations based on data associated with customers, business processes, and ...

To mitigate the cost of bad data, your organization should prioritize data quality initiatives, invest in robust data governance processes and implement data validation and cleansing procedures.

A data quality assessment -- sometimes referred to as DQA -- is a technical review of business processes that collect, manage, or use information. It can be performed by a data analyst or data ...

Sharat Kothakapu said Public health data became a strategic mirror. It helped us ask better questions and pursue improvements ...

Allowing quality data in can lead to a better understanding of an organization. Read more to improve your data quality for unstructured data.

About the author Joseph Vertido, Data Quality Analyst, Melissa Data Melissa Data recently introduced new Golden Record functionality in its MatchUp Component for SQL Server Integration Services (SSIS) ...

Risks to the quality of official U.S. economic data - long seen as the gold standard - are worrying 89 of 100 top policy experts polled by Reuters, with most also concerned that the authorities ...