The behavior of a system cannot be known just by knowing the elements of which the system is made.
For effective system governance, steering, adaptation and transformation initiatives to be successful it is important to define and understand current system baseline and behavior (actuality). This is fundamental to apply effective leverage and change, minimize damage, cost and risks by applying the right kind of intervention.
The Conant-Ashby Theorem, which states that “every good regulator of a system must be a model of that system”. Or in everyday language, to control a system you have to have a model of how it works. This implies a system baseline model (as is).
By Analyzing ’ to control a system you have to have a model of how it works’; what does this imply?
It implies always starting with a baseline of the system (System Architecture baseline 0) which describes how the system realizes it purpose based on strategic objective, goals and tactical demand.
The System Architecture blueprint fundamental purpose is to define a model of the system for effective governance which is associated a system cockpit for effective adaptation.
The System architecture is the structure and description of a system/enterprise realizing its purpose. It enables the implementation, understanding, maintenance, repair and further development and adaptation of the system/enterprise to ensure viability, sustainability, profitability and realization of maximum system potential.
System governance framework consist of defining System Architecture systemic baselines then enables a process of undertaking effective adaptation initiatives to improve system efficiency, capability, potentiality, potential, viability and resilience. Effective adaptation entails defining the rights things to do related innovation and transformation considering system state and environmental conditions.
System governance is a continuous management for learning and adaptation:
The governance framework consist 3 fundamental pillars
- System Architecture Blueprint
- Systems Models
- Governance model defined as system sphere containing elements for effective system management; Normative mgt, strategic management and operational management
- System cockpit
- System steering and adaptation
The governance framework defines a system architecture baseline that based on its capability and governance framework generates actual (actuality) system performance, efficiency, effectiveness and value proposition. System actuality also indicates system state and trajectory within resilience stability basin.
System actuality visually within the system cockpit then provides input to the adaption of the system to a new system architecture baseline. This new baseline can be a radical change (system transformation) or incremental change with respect to system adaption (doing the right things):
- Steering towards stated goals or revising stated goals
- Maximizing potential within system purpose and potentiality
- Innovation and transformation
- Adapting the governance model
- Adapting capability model to leverage value proposition with it stated purpose
This adaptation effort needs to consider investment profile; cost and benefit that will lead to improvements in financial conditions, and provides conditions for improved system viability and sustainability.
The governance framework is a cyclical continuous cycle of learning and adaptation and consists the following:
- Defining System Architecture baseline
- Defining system variables and goals via a system cockpit that associates system state (values) to these variables
- Validation of system initiatives past, current and future in order to address efficacy, validity and prioritization.
- Diagnosing the system, defining initiatives and realizing initiatives
- Redefining new System Architecture and realignment of system cockpit