Скачать или смотреть Data Strategy Crisis: Why 78% of Enterprises Can't Measure Their AI ROI

Maybe it’s me but I was blown away by the percentage of Chief Data and Analytics Officers that “said their top challenge is the inability to measure data, analytics and AI impact on business outcomes”...

According to the “annual Gartner Chief Data & Analytics Officer Agenda Survey,” the number is 30%, which is wild to me.

The next number that got me was "only 22% of the surveyed organizations have defined, tracked and communicated business impact metrics for the bulk of their D&A (DATA + ANALYTICS) use cases.”

There are 3 reasons why I find these stats so intriguing.

The first is that without a Data Strategy, there is no AI Strategy.

Given the amount of attention, resources and hype, as well as signal, of course, it’s remarkable to think about the enterprise challenge and opportunity of closing these gaps.

The competitive dynamic of those that “do” vs those that “don’t” has major competitive differentiation implications…

The second is the platform shift underway that is evolving data architectures from application-centric to data-centric.

This is where enterprise leaders are developing compound AI Systems that join data sets that were historically siloed (i.e. within disjointed systems of record) to enable enterprises to create previously unimaginable insights and act on them, quickly, through intelligent applications.

Creating tremendous value and doing so in a highly measurable way.

The third and final one is that this gap is definitely going to close quickly.

Given that “for the overwhelming majority (more than 90%), value- and outcome-focused areas of the data and analytics (D&A) leader’s role have become their main remit over the past 12 to 18 months and will continue to be a concern going forward.”

If only I could get my hands on Gartner’s “Ignition Guide to Build a Data and Analytics Strategy in the Age of AI”...

If any of this is interesting, subscribe to my newsletter as I’ve been geeking out on this stuff for a long time and love helping people wrap their heads around it as it’s A LOT.

Big s/o to Michael Gabbard, Sr. Director Analyst at Gartner.

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