Thoughts on Semantic Debt
Semantic debt arises when an organization’s data management systems are conceptually inadequate. We often see semantic debt in source-to-target mappings…
Semantic debt arises when an organization’s data management systems are conceptually inadequate. We often see semantic debt in source-to-target mappings…
Patient demographic data quality issues are pervasive across the healthcare industry. A significant percentage of healthcare professionals report that duplicate…
I am often asked what makes a Disciplined Agile (DA) coach effective. The features to look for in a DA coach include:…
Is your company feeling any pain or suffering from the quality, protection, or understanding of your data? The chances are…
In any team sport, there are persons who never score. Test your trivia mind on that! They do not play…
Some classification problems are very straightforward. For example, a data vendor uses a numerical country code, and the business uses…
Big Data and logistics are made for each other, and today the logistics industry is positioning itself to put this…
As titles go, this one has an impeccable pedigree. In October of 2012, the Harvard Business Review (HBR) published an article entitled…
To be a successful relative company in the 21st century, analytics is no longer an option, but a requirement. Yet,…
When your organization chooses to transition into more agile and leaner ways of working, you quickly discover that this effort…