Embedded Analytics Cost Calculator

The article argues that building embedded analytics in-house creates substantial hidden costs beyond the visible UI, including semantic modeling, security, governance, embedding, maintenance, and AI inference, which can consume engineering capacity and slow core product roadmaps. For CIOs and technology leaders, the strategic implication is that analytics infrastructure is increasingly a commodity best outsourced to specialists so IT can preserve scarce talent for differentiating capabilities, accelerate time to market, and reduce long-term ownership risk.