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…
data quality
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…
Data Professional Introspective: What Good Data Looks Like – Part 4
This column is next in the series of how organizations achieve and sustain significant improvements in fundamental data management disciplines,…
Data is Risky Business: Return to Sender
A recent experience brought home to me the critical importance of good quality data in even the simplest of processes,…
Data Modeling for Quality
In this article, I describe a method of modelling data so that it meets business requirements. Central to this method…