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…
data quality
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…
Data Quality Problems Everywhere You Look
Data is everywhere! But can you find the data you need? Can you trust it when you get it? What…
Importance of Data Science in 2021
Data is critical for any business as it helps them make decisions based on trends, statistical numbers and facts. Due…
Why Data Quality Matters
“Quality is never an accident. It is always the result of intelligent effort.” John Ruskin, prominent Victorian era social thinker…