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
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,”…
The Art of Lean Governance: Root Out Waste in Data Reconciliation
In this column, we will discuss a common problem for data warehouses that are designed to maintain data quality and…
Current State Analysis of Your Data – Part 2 – Data Freshness
This article is the second in a series taking a deep dive on how to do a Current State Analysis…
All in the Data: Ways to Improve Your Data
Imagine what it would be like if your data was perfect. By perfect I mean fit for use and high…
The Hard Truth of Data Accuracy
Data Accuracy is one of the so-called “dimensions” of Data Quality. The goal for these dimensions, and it is a noble…
Current State Analysis of Your Data – Part 1
Whether you’re stepping into a new organization as a data lead or trying to overhaul your data infrastructure, the first…
Data is Risky Business: Data Quality Discussion about Data Ethics
The Data Ethics Conundrum The recent DAMA EMEA conference was a valiant effort to connect the DAMA membership in the…
Top Mistakes in Data Migration Projects
Having been involved in several large-scale data migration projects, my company has come across some common re-occurring themes that have…