Explore the best practices to improve data quality and maximize the value of your data assets.

If you decide to integrate data engineering best practices, you can help your team move faster while potentially reducing costs and increasing productivity.

Although established as a best practice in information management, data quality is a relatively young discipline. Unsurprisingly, its roots began in situations where the data needing to be managed was ...

The level of dirty data is what separates typical B2B organizations from those that follow best practices. Even at process-optimized companies, 10 percent of customer and prospect records contain ...

Data governance is becoming a key strategic initiative. Here’s how to ensure critical data assets are reliable, secure, and available for your business.

Apart from the risk of data breaches, an expanding regulatory environment necessitates thorough processes for recognizing, categorizing and safeguarding sensitive data.

Data governance defines roles, responsibilities, and processes to ensure accountability for, and ownership of, data assets across the enterprise.

Five experts in healthcare quality and safety technologies offer CIOs and other health IT workers in-depth tips and best practices for implementing these tools effectively.

Difficulties with the data ingestion process can bog down data analytics projects. Here are some best practices that can help data ingestion run more smoothly.

Data quality is paramount in data warehouses, but data quality practices are often overlooked during the development process.