Lack of alignment between IT and business is often seen among primary obstacles to efficient business development. However, it is an exaggeration to literally associate IT and business. With all its power, IT serves just as a tool enabling business operations. As any tool, it has a complex inner structure, which ought not coincide literally with business structure.
Therefore, the gap between business and IT is natural and justified. It should not be obligatory avoided. Elimination of this gap will yield either in a sub-optimal IT structured equally to business or in inefficient business borrowing internal logic of IT. Instead, business should aim a synthesis of operations and technology by cultivating distinct features inherent to each domain.
The primary gap between IT and business is the gap of misunderstanding. BPM plays the crucial role in overcoming this deficiency of communication. The goal of BPM is in seamless integration of business and IT, not in direct merging of them. BPM provides a common language, which allows business and IT to understand each other and productively work together for the ultimate success of the organization.
There always exists a discrepancy between a model of business process, however well designed and accurate, and real execution of this process in a business environment. The reason for this gap is an unforeseen depth and hidden details inherent to any real process. Real business model of organization is ultimately unlimited in its depth. Going from highest management levels, it descends to individual departments, client relations, production units, technical code of equipment and controllers etc. In vast majority of cases, it is impossible and senseless to build a complete model covering all and every fine detail of the business. Omitted lower layers of the model create (pseudo) random fluctuations during execution of the model. Real execution paths of a process never follow its model exactly. However, in case of the correct model, we can expect to see that an ensemble of execution paths statistically converges to the model as to its average path over a significant set of observation...
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