Key Points Agile, Lean, and Systems Thinking frameworks offer flexible, customer-focused, and iterative approaches to quality management, emphasizing adaptability, waste reduction, and holistic ...

This article focuses on the monitoring and remediation process required by Statement on Quality Management Standards (SQMS) No. 1, A Firm’s System of Quality Management. SQMS No. 1 requires firms to ...

Total Quality Management is a formal management style premised on the notion that measurement of a finished product or project is insufficient to ensure quality. Instead, each process necessary ...

Whether it’s tariffs and trade policy, changing regulatory requirements, or new geopolitical tensions, external conditions ...

Editor’s note: This article is the first in a series to help practitioners learn about the AICPA’s new quality management standards and prepare to implement them. In June 2022, the AICPA’s Auditing ...

Quality management is a proven method for improving organizational performance and meeting or exceeding customer expectations. Quality assurance programs differ across industries and manufacturing ...

Quality management is a major opportunity for a manufacturing CIO to implement new technologies to solve real business challenges. Technologies like AI and vision systems allow unprecedented ...

Quality management systems (QMS) have been in place since the beginning of the Industrial Revolution. They were used to manage and curtail defects in products and eventually evolved to become a set of ...

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.

Data quality management is a crucial aspect of any business’s growth and operational strategies. But achieving high data quality requires that specific roles, responsibilities and tools be in place.

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 ...