We recently decided to use this topic
as a focus for discussion during a recruitment process and asked candidates to
present on this subject.
I always find that in addition to
helping qualify candidates, the stimulation of this external thinking is
equally worthwhile. The main challenge (from multiple candidates) to the use of
the Big Data term came from the perception that our
manufacturing data is not 'complex' (e.g. there is no social media dimension to
our data).
This is indeed true; it also begs the
question – why can’t we add a social media dimension? Would we benefit by being
able to combine our current manufacturing data with blogs, wikis and the like?
The first step here (and before
considering the technology) is starting to think about some usage scenarios.
If a procurement department used the data from a historian to select the
best type of steam trap (based on lifecycle costs), would it be useful for this
performance data to be augmented by the tribal knowledge contained in blogs and
wikis?
The other dimension is a demographic
or talent management one – should those of us with greying hair have an
obligation to create an environment which is attractive for a new generation of
talent and allow them to use the tools and technologies they are familiar with?
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