Data quality - one dimension at a time

I was recently asked what I would focus on given limited funds and resources to kickstart a data quality initiative. This is a great question, because I’m sure many readers will find themselves in this position at some point in their career. My answer is to become ruthlessly focused on […]

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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 […]

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Want to improve data quality accuracy? Look for a techno-cultural shift

In a former life I would often visit sites with literally thousands of plant assets. Each asset was critical to the business not just in terms of capital costs but in the services it provided – and the risks that were caused due to poor maintenance or failure. What was […]

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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 […]

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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 […]

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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 […]

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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 […]

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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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DaaS Is BaaS

.@philsimon on the proliferation of "as a service" terms.

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What is reference data harmonization?

A few weeks back I noted that one of the objectives on an inventory process for reference data was data harmonization, which meant determining when two reference sets refer to the same conceptual domain and harmonizing the contents into a conformed standard domain. Conceptually it sounds relatively straightforward, but as […]

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