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Data Quality

Data Governance Data Quality

…to Love Data Quality

This is the second part of a multi-part series discussing Data Quality and the ISO 25000 series standard. The first installment in this series introduced the ISO 25000 series standard (System and Software Engineering — Systems and Software Quality Requirements and Evaluation) with a particular focus on ISO 25012 (Data Quality Read more

By Mark, 12 monthsMarch 19, 2025 ago
Data Quality

ISO 25012 or How I Stopped Worrying and Learned…

This is the first part of a multi-part series exploring Data Quality and the ISO 25000 series standard. In the 1964 dark comedy Dr. Strangelove, or How I Stopped Worrying and Learned to Love the Bomb, General Jack D. Ripper orders a nuclear strike on the USSR. Despite efforts to Read more

By Mark, 12 monthsMarch 11, 2025 ago
Data Culture Data Quality

An Idiot Light for Data

It couldn’t be simpler.  When there’s a problem with the car, a light on the dashboard illuminates. It could be the oil pressure. Or the tire pressure. Or the battery. Or the engine temperature. Or the engine. Collectively these are referred to as “idiot lights.” Dashboard warning lights were introduced Read more

By Mark, 1 yearFebruary 19, 2025 ago
Data Quality Data Value

It’s Not the Absolute Value of Your Data, It’s the Increasing the Value of Your Data

Data Value. OK. Hot topic. I’d be remiss if I didn’t say something about how data is the new oil or the new bacon or the new hot fudge lava cake with hand-churned vanilla bean ice cream drizzled with chocolate caramel sauce. Got it. So, let’s see. I have this Read more

By Mark, 1 yearOctober 30, 2024 ago
Data Entry Data Quality

Data Producers: Walking and Chewing Gum

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

By Mark, 1 yearOctober 2, 2024 ago
Data Culture Data Debt Data Products Data Quality Data Trust Leadership

Stop Accruing Data Debt

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

By Mark, 1 yearSeptember 18, 2024 ago
Data Quality Practical Data

Practical Data: Inflation

“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

By Mark, 2 yearsAugust 28, 2024 ago
Data Products Data Quality Information Management

Responsibilities of a Data Product Provider

A previous article established that the primary expectation of Data Product consumers is Reliability. This week we’ll look more closely at how we can provide that reliability.  The five responsibilities of a Data Product provider are Content, Curation, Catalog, Certification, and Maintenance. Content: Data Products are created to satisfy anticipated and/or Read more

By Mark, 2 yearsJune 19, 2024 ago
Data Quality Practical Data

Practical Data and the Dow Jones Industrial Average

This is the first of an occasional series of articles that will examine data that we encounter in our everyday lives. Metrics like unemployment, inflation, stock market averages, crime rates, and the like. Most of us don’t take day-to-day action based upon these numbers, but for many they contribute to Read more

By Mark, 2 yearsMay 22, 2024 ago
Data Quality Data Trust Information Management

Why do you trust data?

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

By Mark, 2 yearsMay 15, 2024 ago

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