Managing legacy systems and data
Legacy systems and data are an inevitability in all organisations, but attempts at removal and incorporation invariably fail to fully eliminate the systems and/or the data itself. Once these decommissioning programmes and projects end, these systems settle back leaving the vestiges permanently in system landscapes.
Using data governance to categorise and ascribe ownership and purpose to these remnants keeps them in view where their purpose remains current, and highlights their lack of use where the reverse is true.
Aggregation platforms, Hubs, Data Warehouses/Marts, Data Lakes all aim to resolve the same challenge, that of centralising our data; inevitably however, these same solutions create challenges of their own, namely the lack of transparency, definition and ownership. In order to counter this we can model these systems and represent them within a data governance platform to expose the feeds, methods and system sources.
This needs careful planning, following an understanding of the data, where the copies are and where the data governance is carried out. It should be understood how this data/system fits in the unified data strategy or an organisation ensuring the effort is relevant.