Читать книгу Data Management: a gentle introduction - Bas van Gils - Страница 28

Considering that DM is about balancing between “grip” and “value creation”, a notion that needs careful exploration is the data lifecycle, which is the process of creation – use – archive/ destruction of data. Example 14 briefly hinted at it already: data is created somewhere (presumably in a process, leading to an update of systems) and is subsequently used in many places in the organization. The one point that is missing from this exploration is that data should eventually be archived/ destroyed. In many industries, there are regulations in place that stipulate when and how data should be archived/ destroyed.

What makes it hard to manage data along its lifecycle is that it never gets used up: you can make as many copies as you like without impacting the “original”. These copies may float around the organization and there is no telling what they will be used for if you are not careful. In order to successfully manage data across its lifecycle, organizations should at least keep careful track of where data goes but also should have governance structures in place to make this happen.