Our causal deconstruction method is a seven-stage scientific methodology that is used to understand the constituent components of a system and any dependencies by establishing the base dynamics, deconstructing complexity, constructing an emulator, predicting singularities, comparing to the actual system, defining improvements and monitoring the execution. Causal deconstruction allows us to uncover results that often defy […]
Optimal business control (OBC) is a set of management, data collection, analytics, machine learning and automation processes through which management predicts, evaluates, and, when necessary, responds to mitigate dynamic complexity related risks that hinder the realization of business goals.
Perturbation theory provides a mathematical method for finding an approximate solution to a problem, by starting from the exact solution of a related problem. A critical feature of the technique is a middle step that breaks the problem into “solvable” and “perturbation” parts. Perturbation theory is applicable if the problem at hand cannot be solved exactly, but can be formulated by adding a “small” term to the mathematical description of the exactly solvable problem.
Complexity is a subject that everyone intuitively understands. If you add more components, more requirements or more of anything, a system apparently becomes more complex. In the digital age, as globalization and rapid technology advances create an ever-changing world at a faster and faster pace, it would be hard not to see the impacts of complexity, but dynamic complexity is less obvious. It lies hidden until the symptoms reveal themselves, their cause remaining undiscovered until their root is diagnosed. Unfortunately, diagnosis often comes too late for proper remediation. We have observed in the current business climate that the window of opportunity to discover and react to dynamic complexity and thereby avoid negative business impacts is shrinking.