Invite data geeks to sit at the adult table for Thanksgiving
dinner? Perish the thought!
My direct experience probably parallels your own - there have
been certain instances where this happened (in my case, using
geospatial data to help drive usage statistics/understand customer
needs) - but it's a classic chicken and egg situation. You
need a highly tuned, top of the maturity curve data management
system in order to gain acceptance at the C-suite level - but you
don't get approval for said mature system without proving
Part of the discussion is that your data strategy, by its very
nature, is not a driver for the business (with possibly some
exceptions - AWS is one I can think of as an exception, not the
rule). It's seen (and generally, rightly so) as simply a
method for doing business - so the direction is not so important,
so long as your data characteristics are maintained (all of your
quality, security, etc).
On my to-do list is to implement a pilot that demonstrates
prescriptive/proscriptive analytics that prove the value (directly
demonstrates business value of a self-tuning system) - but, like
everyone, I'm having trouble putting time against that pilot
because I have other, 'higher' priorities (read: more urgent, but
less important, since the pilot I'm talking about would save the
company more than $100K a year). The suggestions of
leveraging a small, pilot program to demonstrate value is a must in
this situation - but I think your question still stands, esp in
context of multiple industries.
Curious to hear other stories.