Awesome! You’re moving forward with a modern analytics architecture built upon Data Products. Maybe you’re going to implement a Data Mesh and/or Data Fabric. Maybe you’re just looking to make your enterprise analytics more scalable and sustainable. Whatever the reason, you now have a couple of architectural decisions to make; Read more
Through the years I’ve done several surveys. Sometimes it’s collecting business value. Sometimes it’s connecting talent and need. Sometimes it’s inventorying tools. Sometimes it’s understanding resource utilization patterns. Regardless the purpose or venue, I have a very strict rule that applies to every question in every survey: Before the question Read more
One Saturday afternoon in the late-1970s, I was watching the Pittsburgh Pirates on the MLB Game of the Week. Partway through the game, rain started falling at the stadium. Umbrellas sprouted in the stands, but play continued, the players seemingly unaffected. A few minutes later the rain appeared to be 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
Great question. After all, a Data Product Provider is responsible for: producing the content, ensuring its availability, and validating its correctness collecting the metadata and publishing it through the Data Product Catalog responding to questions and enhancement requests Or, more succinctly: content, curation, catalog, certification, and maintenance. Along the way Read more
Part 1 of the Hidden Costs of Migration introduced the key high-level challenge associated with hardware and software migration projects: They’re not change the business. They’re not run the business. They’re a full stop, with the expectation that progress will be faster when it’s finished. The objective, then, is to offset Read more
“Practical Data” is an occasional series of articles that examines metrics that we encounter in our everyday lives. I take it as axiomatic that government statistics are created and reported to support a political narrative, whatever the narrative happens to be at the time. Data Quality provides an excellent framework Read more
Hardware and software migration projects are like crack for IT executives. Especially when the number on the new invoice is smaller than the number on the old invoice. Even better when the products can be folded into a previously negotiated enterprise agreement and made to appear free. Add to that Read more
… and your data warehouse / data lake / data lakehouse. A few months ago, I talked about how nearly all of our analytics architectures are Stuck in the 1990s. Maybe an executive at your company read that article, and now you have a mandate to “Modernize Analytics.” Let’s say Read more
This week we continue our Data Product dissection by looking at the data itself. What could be more fundamental? After all, it’s in the name! Data Products come in three flavors: Foundational, Composed, and Packaged. It’s important for providers to understand these different types because they are conceived, implemented, and Read more