Data decay, or the aging of data, is data degradation over time—which results in bad data quality (

One of the biggest challenges for companies in transitioning to remote work is their handling of layoffs.

Most companies face the challenge of managing the documentation they generate—those that are developed to control their business and processes (e.g., standard operating procedures—SOPs) and the associated records as evidence of compliance with those procedures.

Data are an enterprise asset, and data governance (DG) is about establishing policies, processes, rules, standards, and controls around data to improve the quality of data and ensure data security and privacy.¹

On Dec. 9, 2022, the U.S.

According to “The 2022 State of Employee Safety Report,” 79 percent of employees say they’re concerned about their health and safety at work.

The quality profession has been evolving since the Industrial Revolution. I’ve lived part of this journey since the 1970s and have experienced its effect.

The business challenges of the past few years—labor shortages, supply chain disruptions, and inflation—have accelerated the long-term trend toward automated packaging operations.  All types of manufacturers and distributors, including food and beverage, pharmaceutica

Environmental, social, and governance (ESG) is growing in popularity as a metric to guide investment decisions. What does ESG have to do with productivity, quality, or stakeholders, aka relevant interested parties?

A company’s quality management system should have a formal, effective, and efficient corrective action and preventive action (CAPA) program so management can stay informed and correct existing business problems.