Using Artificial Intelligence and Machine Learning to Improve Data Quality in Cloud-Native Data Pipelines
Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of cloud-native…
Data Quality News, Articles, & Education
Get a thorough Data Quality education through TDAN’s Business Intelligence articles, news, and blogs.
Data Errors in Financial Services: Addressing the Real Cost of Poor Data Quality
Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Even…
Data Observability vs. Data Quality
Data empowers businesses to gain valuable insights into industry trends and fosters profitable decision-making for long-term growth. It enables firms…
The Art of Lean Governance: The Cybernetics of Data Quality
In the age of algorithmic intelligence, data is no longer just an asset — it is a self-regulating system whose…
Cleaning Up the Data Disaster: How Businesses Can Battle Dirty Data
Running a business with dirty data is like trying to drive a car blindfolded — it’s only a matter of…
Explaining the Why Behind Data Quality Dimensions
Data quality is measured across dimensions, but why? Data quality metrics exist to support the business. The value of a…
Stop Feeding AI Junk: A Systematic Approach to Unstructured Data Ingestion
It’s go-time for enterprise AI. A PagerDuty global survey of 1,000 IT and business executives found that 62% of companies…
The Good AI: Data Contracts for AI Transparency
“AI is only as trustworthy as the data that fuels it.” This statement has never been more relevant. AI systems…
Building a Data-First Culture
Technology is not what powers a data-first culture, but people, operating models, and disciplined delivery. Most organizations already possess more…
Data Speaks for Itself: Is Your Data Quality Management Practice Ready for AI?
While everyone is asking if their data is ready for AI, I want to ask a somewhat different question: Is…