Data-Driven Decision Making: A Single Source of the Truth?
Data-driven decision-making: who doesn’t think it is a good idea? But it typically has a rough go in the real world of enterprise management, in part because the data itself often prove unreliable. For a long time, IT has been tasked with building systems that could represent a single source of the truth, which has been nearly impossible. For the first time in history, we have broad access to high-volume data from a variety of sources that, when matched against each other, dramatically increase the probability of something like truth, and do so in a time window that is actionable.
In this report, IIA Expert Geoffrey Moore addresses the Digital Systems Maturity Model, which includes four systems:
Systems of record occupy the bottom step in this maturity model, having been prevalent for closing in on three decades
Systems of engagement are relatively new to the scene, be they in service to marketing automation, customer service, or sales enablement
Systems of intelligence are just emerging onto the scene, having become highly visible in the leading disruptive enterprises who are currently eviscerating their competition
At the highest level, just coming out of the labs in most cases, are systems of autonomy
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