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Future Enterprise- Decision Re-engineering
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| Written by David Hunter Tow |
The emerging Decision Engineering Architecture of the 21st century represents a major shift in managing the operations of the future enterprise. By optimising the decision networks of an organisation, greatly improved levels of efficiency, adaptivity and quality of decision-making can be achieved beyond current
Process and service oriented architectures. Combined with the new organisational model of intelligent and flexible knowledge processing, decision-engineering techniques are well positioned to accelerate major gains in the performance and productivity of the future enterprise.
Scientists are striving to more fully understand the ways in which network components interact with one another to influence complex processes. Thus attention has turned to the analysis of networks that operate at many levels.
The network model is well established in the social, biological and environmental sciences providing a much more realistic and powerful model of real world interactions.
This evolutionary model is now beginning to permeate the business and technology environments offering the next major step in their evolution.
The core of this framework in relation to the future adaptable enterprise is the capacity to dynamically route information and intelligence resources to critical decision nodes in the enterprise.
The most basic feature of any network is its architecture or topology, which places boundaries on how it acts and how it might have been formed. Network models are underpinned by Graph Theory, which defines the rules of network topology.
Future Trends
The classes of networks that exhibit different global features will be examined in future updates, to determine the architecture that will best fit the evolution of the adaptive enterprise together with techniques available within the emerging class of Decision Engineering Methodologies- to map, optimise and apply decision networks within an enterprise environment.
Applied to the new enterprise model of intelligent and flexible knowledge processing, decision engineering techniques are well positioned to accelerate major gains in the performance and productivity of the future enterprise
Re-engineering the decision processes of an organisation will be essential to the future unlocking of potential value and reducing operational
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