Digital transformation is often seen and promoted recently as a primary factor of success for a company. IT is a resource delivering implementation of the challenge for digitization. This might create a false impression about IT as a primary driver of business.
Despite its growing power, IT is and will always be just a technology. As a technology, IT has its own logic of functioning and evolution. Even despite functionality and design of IT are largely shaped by demands of business, still principles and internal alignment of IT remain in a primary technical scope.
If left alone or followed as a beacon, IT will drive a company from its true business goals into a virtual world of elusive digital harmony. This danger is getting more and more real in the course of rapidly increasing role of digital governance and real time reporting. As a result, management tends to see the whole business through an IT prism creating a potential for a noxious aberration.
Deviation of a company from an artificial digital focus is an essential factor of self-healing evolution towards true business goals. The gap between business and IT is an objective and important safety distance, which protects business from dissolving in a digital ocean.
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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