Classic information system technologies are static, which cannot readily provide time and cost effective solutions when unique accommodations are required, nor readily support evolving data structures or processes. 

In practice, generic or semi-specialized systems are used, these systems will always be lacking, or compensate with excessive of functionality.

In both cases, operational difficulty will emerge. Attempts to solve it with patches such as Excel files and auxiliary systems may relieve stress temporarily, but since th they soon become unwieldy, those too will lose relevance and pile up until reaching a breaking point.

A considerable investment is discarded every few years, because at a certain point a static system must be thoroughly upgraded or even entirely abandoned for a new system. Any organization strives to minimize costs and is heavily dependent on its information systems to maximize productivity. But as demonstrated, with static systems productivity is non-optimal, costs are high, and onboarding frequency and complexity are increased as well.m

Evidently, classic information systems are stagnated by default, and are not efficient for dynamic organizations.

Therefore, it’s imperative to use a dynamic system that is effective at accommodating unique data and distributing the development in small and frequent updates, so that it would grow continuously with its organization’s expansion and optimization while retaining the familiar workspace, and so yield high usability and maximal productivity consistently.