Due recognition of strengths and weaknesses, ability to focus on primary directions and outsource side activities are crucial for efficient development of any business. It is manifestation of universal principle of separation of labor, which dominates economical development for past centuries.
Further deepening of specialization became even more essential with formation of global market and rapid digitization of economy, which progressively eliminates few yet existing boundaries. The ability to optimally delegate secondary tasks becomes a key in achieving business efficiency.
However, this established global trend also bears substantial dangers. A company may easily loose competitive advantage and even corporate identity by improperly outsourcing its core technologies and know-how. Proper recognition of relevant delegation scope is a crucial factor for survival and balanced development of an organization.
BPM plays especially important role in evaluation and planning of outsourcing strategies because it provides clear and detailed vision of all business aspects and facilitates management decisions on potential segregation of business functions for external operations. Without an established business model a company is not capable to determine what is the core of its business.
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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