workingwithdata_ebook_april21_awc2op 4

TREATING DATA AS A PRODUCT
The spiralling cost of detecting data quality
issues too late
This kind of scenario is not uncommon, but what is most damaging is
how far downstream the data quality issue is detected, making it significantly
more costly to Acme. It is far better to spot an issue, debug and resolve it
at the point it occurs and as far upstream as possible – in order to minimise
data downtime.
You do not want Ralph, or any other data consumer spotting your data
quality issues, or worse, using incomplete or inaccurate data to drive key
decisions. Towards the end of the graph, once the data is out and being used
by a plethora of data consumers, damage limitation is difficult to contain. At
least without eroding trust in the data.
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