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…
data management
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…
Data Speaks for Itself: Is Metadata Data?
Well, of course, metadata is data. Our standard definition explicitly says that metadata is data describing other data. So why…
New Gartner Category Impacts Data Governance Professionals
With the latest SEC developments lighting a fire under the feet of companies and their executives, data governance is increasingly…
The End of Agile – Part 3 (What Is Agile Really?)
In the first article, I laid out the basic premise for this series: an examination of how Agile has gone…