by Andrew White | February 20, 2017 | Comments Off on Gartner’s Data and Analytics Summit 2017 Keynote – Some thoughts
As I sat through the keynote I made some notes to record my observations and key messages I noted. I thought it worthwhile to share them – so here you go.
Lead in the Age of Infinite Possibilities – recognizing the abundance of data, opportunity and risk and the scarcity of insight, value and success.
Our economies remains marred in the doldrums; growth remains a challenge and productivity driven by information and technology (I didn’t say, “IT” since that tends to mean T and not much focus on I) remains lacking. Given the range of opportunities, how do you as CIO or CDO:
- Acquire the best or right skills?
- Adopt the best programs and techniques?
- Select the right technologies?
From people, process and technology to people, process, DATA and technology.
When we say, “data driven” we don’t mean that literally since we should be all “customer driven”. What we mean is that our customer driven efforts should exploit the abundant data around us to outsmart the competition and/or excel at our service level goals.
So innovation is key (the birth of a new value-add technology or practice) and process innovation (how that innovation is delivered and assimilated across industries) is key. So your organization needs to recognize both – separately. Acquisition of a silver bullet does not work! It is probably more important to worry about WHAT you do rather than what you do it WITH. The aluminum and artificial light examples in the keynote explains the two – the act of innovation and then the complex task for how that technology is delivered and absorbed as a practice by others.
Data and analytics is not about a dashboard or delivery of an analytic to the point of a decision! That is so yesterday. Data and analytics is more about reimaging the decision in the context of an outcome and business process, and thus exploring how data across all – process, decision, outcome, analytic, act, and feedback – is exploited (for lower cost, higher output, or some other improved outcome). Maybe we should stop talking about ‘data’ and ‘analytics’ and instead talk about “decision making”. Not a bad idea….
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