Listen to this article: A 2020 report published by DAMA in the Netherlands found more than 60 different data quality dimensions. Traditionally, most practitioners recognize the “Core 8”: accuracy, validity, completeness, integrity, uniqueness, timeliness, reasonability, and consistency. The one I want to focus on here is timeliness. Actually, just a portion Read more
Listen to this article: OK. You’ve convinced management to support a Data Products initiative. Maybe you want to do AI and not be one of the 95% that fail or underperform. Maybe you have an existing analytical environment that’s like the house at the end of the street that hasn’t Read more
Listen to this article: The vocabulary generator has been working overtime. Just last week I talked about Data Contracts. Here’s another: Data Trust. I predict that through 2028, 80% of S&P 1200 organizations will become curious about the meaning of Data Trust. Why? Because among The Gartner 100 Data, Analytics and Read more
A few years ago, while visiting back home in Pittsburgh, a friend and I spent the day at Kennywood Park, a 125-year-old amusement park about 8 miles from downtown. It has one of the country’s best steel roller coasters, but my favorites are the wooden ones built in the 1920s. Read more
I hate paying more than I have to for something. And I really hate paying interest, whether it’s on a credit card … or a loan … or Data Debt. Data Debt is the accumulation of unresolved data-related issues and unfinished information management activities. Think shortcuts taken in the interest Read more
With increased recognition that the new AI models and applications need high-quality, well understood data, Data Products are enjoying renewed attention. The concept has been fleshed out in recent years with definitions, reference architectures, and platforms. They consist of …. Actually, let’s not worry about what Data Products consist of. Read more
You had blood drawn in the doctor’s office as part of your annual physical and just received a printout with a bunch of numbers. Cholesterol 142. Platelets 203. Glucose 93. And so on. And you probably believe them. Why? Do you even think about it? Consider all of the assumptions Read more