What Numbers Are; And What They’re Not. *Or* Why (When) Is 12 Times 12 Not 144
Posted: December 6th, 2023
In 1963 and 1964, I was in 3rd Grade, and Mrs. Waugh taught me my 12-times tables. And I learned that 12 times 12 is 144. So, what am I going on about? Let me throw out three different questions: […]
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Data Quality Part 6: What Have We Learned
Posted: October 4th, 2023
We’ve made it through 5 articles in this series (with a bunch of stories and analogies along the way). We started this journey with this sentence: Defining data quality, and implementing a data quality program, furthers the goal that […]
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Data Quality Part 5: An Additional Component ─ Sensitivity
Posted: August 30th, 2023
We started this journey with the following thought: Defining data quality and implementing a data quality program furthers the goal that the data collected serve the intended purpose, i.e., informed decision making. In this article, we’ll explore “sensitivity.” This one […]
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Data Quality Part 4: The Qualitative Components: Representativeness and Comparability
Posted: July 6th, 2023
We started this journey with the following thought: Defining data quality and implementing a data quality program furthers the goal that the data collected serve the intended purpose, i.e., informed decision making. Up to this point, we’ve defined data quality, […]
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Data Quality Part 3: The Quantitative Components: Precision, Accuracy, and Completeness
Posted: June 22nd, 2023
We started this journey with the following thought: Defining data quality and implementing a data quality program furthers the goal that the data collected serve the intended purpose, i.e., informed decision making. Last time we discussed that precision is a […]
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Data Quality Part 2: What Are the Components of Data Quality?
Posted: May 22nd, 2023
In the first article of this series we started with this thought: Defining data quality and implementing a data quality program furthers the goal that the data collected serve the intended purpose, i.e., informed decision making. We walked through […]
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Data Quality Part 1: What Do We Mean by Data Quality?
Posted: April 17th, 2023
When making a measurement, we are looking to answer a question. We want and need our measurement to be robust at the levels that address the underlying question. That concept seems simple and obvious, but it gets into the weeds […]
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