Monday, June 23, 2014

Worts' Causeway

The potential for data to be corrupted and polluted increases as  it gets passed through interfaces and contact points, and as it passes from process to process and from system to system. This makes data hard to keep clean/ Those of us in the data quality world often hammer at the point that getting the data right at source is the ideal for a high level of data quality. But not all data is correct or standardised at source. When the originator of that data, as much prone to data quality defects as the rest of us, can't decide on what form it takes, what chance for getting it right in your systems?

Read more in my blog post here.

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In a bid to promote equality, and bringing it more into line with other European countries, a proposed new law in Belgium would automatically assign a baby the surnames of both the father and the mother (in that order) instead of only the surname of the father. However, the parents may also choose to give the child the surname of either of the parents, of to have the mother's surname precede that of the father.

Read more in my blog post here.

And your point is?

The costs of data quality failures are often very difficult to quantify, and, given the way that businesses operate, being unable to put a price tag on these failures usually means that they are given a low priority by organisations. Recently Amsterdam City Council made a data quality error which illustrates just how much they can cost.
Read more in my blog post here