Data Speaks for Itself: What Could Possibly Go Wrong?
I had a great experience attending the MIT Chief Data Officer and Information Quality Symposium in Cambridge this July. It…
data quality
Avoiding a Data Catastrophe
Have you ever watched the Science channel show called, Engineering Catastrophes? It’s a fascinating show exemplifying how engineering projects of…
Data Speaks for Itself: Data Speaks as Product
One of the greatest contributions to the understanding of data quality and data quality management happened in the 1980s when…
What I Learned from Executing Data Quality Projects
Getting to great data quality need not be a blood sport! But there must be a method to the madness,…
Autonomous Data Trust Score for Data Catalogs
With the accelerating adoption of Data Catalogs as the core component for enterprise data governance, the need to provide information…
Data Governance Bottom-Up Approach is Alive
Top Down vs. Bottom Up Have you heard the terms “top-down” or “bottom-up” associated with approaches to Data Governance? If…
What is the Cost of Poor Quality Data in Your CRM?
Your CRM is undeniably a valuable asset to your company however, what happens when the data inside this expensive investment…
Data Management’s Next Frontier is Machine Learning-Based Data Quality
Regardless of how accurate a data system is, it yields poor results if the quality of data is bad. As…
Data Quality Is In the Eye of the Beholder
We know the phrase, “Beauty is in the eye of the beholder.”1 In this article, I will apply it to…
Through the Looking Glass: The Context of Out-of-Tune Data
Back when I studied cello in college, I would seclude myself in a tiny practice room (we called them “cells,”…