The IT world and the wide world share one critical truth: Bad decisions are often made because good, complete data is lacking. In fault management generally -- and in root cause analysis particularly ...

In a staff report, the PCAOB discusses the importance of the root cause analysis process in firms' efforts to improve audit quality. The Public Company Accounting Oversight Board released a staff ...

Although there are a wide variety of resources available on how to conduct a root cause analysis, there are few resources that clarify what a root cause analysis process looks like in practice. Having ...

Developing and sharing guidance or resources on root cause analysis is one of the most straightforward supports states and districts can provide. Several states have already developed root cause ...

Root cause analysis plays a pivotal role in quality management, yet many analytical labs struggle to apply it effectively. When done well, it drives lasting improvements and prevents repeat issues—but ...

A causal analysis may include data collected at the impaired site(s) and at local reference sites ("data from the case") as well as data from other locations ("data from elsewhere"). Data from the ...

Just as risk assessment is the bedrock for an effective compliance program, root cause analysis (“RCA”) similarly underpins successful remediation of compliance violations. The DOJ’s March 2023 ...

The interrelated final standards on quality management issued in June 2022 by the AICPA’s Auditing Standards Board and Accounting and Review Services Committee are intended to clarify and improve ...

Causal AI is a form of artificial intelligence (AI) designed to identify and understand the cause and effect of relationships across data. Unlike large language models and generative AI, which are ...

The surge in enterprise AI has fueled interest in causal analysis. In this piece, I explore the threads that bind cause and effect - and how they can be applied across a range of industry scenarios.