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David Loshin 0
Reference data harmonization

We have looked at two reference data sets whose code values are distinct yet equivalently map to the same conceptual domain. We have also looked at two reference data sets whose values sets largely overlap, though not equivalently. Lastly, we began the discussion about the guidelines for determining when reference

Jim Harris 0
Requirements, data quality and coffee

A panel discussion at the recent International Data Quality Summit opened with the seemingly straightforward request by the moderator for the panelists to begin by defining data quality. The resulting debate was blogged about by Ronald Damhof, who was one of the panelists. On one side of the debate was the ISO 8000 definition of data

David Loshin 0
Reference data set congruence

In my last post I discussed isomorphisms among reference data sets, where we looked at some ideas for determining that two reference data sets completely matched. In that situation, there was agreement about the meaning of every value in each of the data sets and that there was a one-to-one

Dylan Jones 3
How to re-balance a data migration project plan

How do you structure your data migration plan? How do you allocate resources and timescales so that you maximise your chance of success? In this article I want to explore some data migration project planning misconceptions and give you some pointers for an alternative approach. One of the big improvements

Jim Harris 0
As the butter churns in Bangladesh

“Correlation does not imply causation” is a saying commonly heard in science and statistics emphasizing that a correlation between two variables does not necessarily imply that one variable causes the other. One example of this is the relationship between rain and umbrellas. People buy more umbrellas when it rains. This

David Loshin 0
Determining reference data set isomorphisms

In my last post we started talking about the tasks associated with data harmonization; the topic of this week’s post is determining that two reference data sets refer to the same conceptual domain. First, let’s review some definitions: A value item is a representation of a specific value meaning in

Dylan Jones 0
3 (low cost) tactics for data quality improvement

When I speak to our members on Data Quality Pro, a lot of their fears revolve around budgetary issues: “Will I be able to create a compelling business case for the finance steering committee?” “Will our funding run out before we complete phase 1?” “How can we hire new staff

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