Strictly speaking, if you have a rigorous quality process in place, there should be no reason for a discussion of rework. In fact, it might be said that rework is the result of not having rigorous ...

New AI Quality Management certification helps professionals integrate artificial intelligence into quality improvement, ...

In recent years the focus on and importance of quality management has intensified. Market demand for product quality, safety, serialization, and total traceability has increased as the risk of lost ...

Editor’s note: This article is the second in a series to help practitioners learn about the AICPA’s new quality management standards and prepare to implement them. The interrelated final standards on ...

Joseph Juran was a pioneer in the study of quality control for industries like math and science. Learn how to apply his ...

Implementing the new standard on quality management (QM) by the Dec. 15, 2025, deadline may seem daunting, but the AICPA has developed resources and tools to get started, including a recently revised ...

Grant Thornton has sold its quality management application qm.x to accounting AI software company Tellen, though the firm ...

Data quality management is a crucial part of any data integration process. It may be considered the first step to the integration process, as quality data is the key to achieving profitable insights.

Quality control is more than just keeping track of the number of products produced. It helps manufacturers increase productivity and improve the overall health of the company. Product quality is ...

Businesses use quality management systems to improve the efficiency of their processes, which can help increase profitability. Total Quality Management systems use a variety of tools and theories to ...

Poor quality management can place a permanent stain on any project. To avoid this, the project manager must first determine how the client or the project sponsor defines quality--and then follow suit.