Quality assurance refers to the processes being used to manage the project and to build the deliverables. This is in contrast to quality control, which refers to the activities used to create the ...

When to use paper checklists, versus digital checklists, depends on circumstances, and the people involved in a task. For example, when multiple people collaborate in processing a job, task, or ...

Chris Hayhurst is a freelance writer who covers education technology and healthcare, among other topics. He's a regular contributor to the CDW family of technology magazines As more colleges and ...

In today’s data-driven world, data quality assurance (DQA) is essential for organizations aiming to make informed decisions. High-quality data must be accurate, consistent, and reliable. Traditional ...

Quality-assurance procedures can lessen the uncertainties inherent in core and log data. Elimination of these uncertainties will help optimize the development of oil and gas fields.1 Uncertainty means ...

At the very core of decision-making and business performance, lies data quality. When a company’s fundamental data is unreliable, of poor quality or just plain incorrect, even the best technologies ...

Test automation and DevOps play a major role in today's quality assurance landscape. As we know, software development is evolving at a rapid pace. This requires finding robust ways to invest in ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.