.@philsimon on the proliferation of "as a service" terms.
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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
The panel moderator looks out over the audience. It’s a large crowd. For the first time ever, Big Data, Hadoop, and the Internet of Things are appearing on stage together. The conversation has just begun, so let’s listen in for a minute. Big Data: “…and people have been trying to
If you work in a data quality team then chances are you’ll experience that awkward moment when someone in your organization asks the obvious question: "So what does a data quality team do?" Most people (outside of data quality) find this a relatively straightforward question to answer, but it always
.@philsimon on the importance of timing.
Yesterday was one of the two times a year that an equinox occurs. From its Latin roots, the term equinox translates as equal night since, on the day of an equinox, daytime and night are of approximately equal duration. This occurs because during an equinox the Sun is aligned with the center of the
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Data migrations are never the most attractive of projects to sponsor. For those who have sponsored them previously, migrations can be seen as a poison chalice. As for the first-timers, data migration initiatives are often perceived as a fairly insignificant part in a far grander production. The challenge with data
.@philsimon on whether dashboards can help with predictions.
My previous post pondered the term disestimation, coined by Charles Seife in his book Proofiness: How You’re Being Fooled by the Numbers to warn us about understating or ignoring the uncertainties surrounding a number, mistaking it for a fact instead of the error-prone estimate that it really is. Sometimes this fact appears to