Efficient Data Extraction Techniques for Large Datasets
In today’s data-driven world, efficiently extracting data from large datasets is crucial for businesses to gain valuable insights and make…
data quality
Ensuring AI-Ready Data
Being an AI-ready organization involves identifying and then overcoming data issues that hinder the effective use of AI and generative…
Data Speaks for Itself: The Shift from Syntactic to Semantic Data Curation
My column today is a follow-up to my article “The Challenge of Data Consistency,” published in the May 2023 issue…
Data Crime: Just Move the Data You’ve Got
I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications,…
Data Crime: Election Ballots
I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications,…
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…
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…
Data Crime: Arizona Is Not Arkansas
I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications,…
Data Cleansing Tools for Big Data: Challenges and Solutions
In the realm of big data, ensuring the reliability and accuracy of data is crucial for making well-informed decisions and…
Documenting Critical Data Elements
Many Data Governance or Data Quality programs focus on “critical data elements,” but what are they and what are some…