An Insight-Driven Organization?

​Two decades since the concept of big data became part of the lexicon, not a single company has become a fully insight-driven organization — and culture is not the direct culprit.

Culture is a logical consequence of organizational structure and organizational structure is a function of its design principles.

Only Open-System Design Principles are intrinsically enhancive and tropophilic and enable an organizational environment conducive to a synergistic relationship between humans and A.I..

Only by designing enhancive and tropophilic systems, within which humans make the most of A.I. to excel in the speed and quality of decision-making, will organizations become insight-driven.

As the amount of data continues to proliferate at an increasing rate, analytics and A.I. are essential for businesses in order to thrive and make the best use of these massive volumes of data.

Many organizations, however, have invested in data initiatives, analytics, or data science groups and have created the post of Chief Data Officer (CDO) or Chief Analytics Officer (CAO) with little, if any success.

Recently, Deloitte surveyed more than 1,048 executives working at large companies (500+ employees) who interact with, create, or use analytics as part of their job, among their findings: