The progress of digital technologies is so rapid, so many new promising products appear every day that it creates a false illusion of infinite opportunities to transform an organization. No matter what bright options were missed yesterday, tomorrow will bring even more and better alternatives. This might be a classical argument of a manager who postpones digital transformation.
However, this impression of abundance and availability is dangerously elusive. As a rule, the number of technologies, which ideally satisfy requirements of a company, is very limited, if not void at all. The search for the right technology is tedious, requires significant effort and expertise, implementation is complex and error prone.
Small quantitative changes tend to gradually accumulate into principal qualitative shifts. If a company fails responding to small day-to-day challenges in digital transformation carefully watched and followed by competitors, it will definitely face one day an abyss, which is impossible to cross with one time action or investment. In many situations such untimely discovery may mean a catastrophic breakdown of the whole business.
To avoid a destructive digital revolution organization must constantly follow modern technology trends to turn them into digital evolution, which will gradually and persistently align business practice with reality of digitization and automation, bring unique digital identity and competitive edge.
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...
Comments
Post a Comment