Data Crime: Bob Smith
I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications,…
data management
The End of Agile – Part 6 (Alternatives to Agile)
In the first article, I laid out the basic premise for this series: an examination of how Agile has gone…
Data Is Risky Business: The Big Picture Ethics of Small Data Actions
Regular readers of this column will have noticed a thread weaving its way through the articles over the past few…
Data Mart vs. Data Lake: Understanding the Difference
In the ever-evolving landscape of data management, two key concepts have emerged as essential components for organizations seeking to harness…
The True Cost of Your Data in the Cloud
As organizations increasingly migrate to the cloud, understanding the true cost of storing and managing data is essential. Cloud computing…
The End of Agile – Part 5 (Misapplications of Agile)
In the first article, I laid out the basic premise for this series: an examination of how Agile has gone…
Harnessing the Potential of IoT Data
“Big data” refers to data sets that are so complex and large they cannot be analyzed or processed using traditional…
Eyes on Data: Improving ESG Reporting with Established Industry Standards
In today’s rapidly evolving corporate landscape, environmental, social, and governance (ESG) reporting has become a focal point for organizations aiming…
Six Data Quality Dimensions to Get Your Data AI-Ready
If you look at Google Trends, you’ll see that the explosion of searches for generative AI (GenAI) and large language…
The End of Agile – Part 4 (Lessons from Agile)
In my first article, I laid out the basic premise for this series: an examination of how Agile has gone…