Sometimes managers struggle with determining if an innovation from a new technology will be worth the improved performance or features. Upgrades are expensive, and the decision to upgrade can meet unwarranted management resistance if a clear reason is not present.
But for analytics, whether applied to a marketing chatbot or developed as a precursor for advanced predictive models, delays in upgrading supporting software, data sources, or associated training can create technical debt. Managing the small tasks can leave your organization at a disadvantage in the race to establish a data-driven strategy.
Technical debt is a software development term in which an implemented software fix solves an immediate problem, but consequently creates potential complications down the line, raising the total cost