The text discusses the "confidence gap" in modern organizations, where teams struggle with inconsistent and untrustworthy data. This gap is caused by disconnected systems, duplicated logic, and poor tooling, leading to delayed decisions, redundant work, shadow workarounds, and eroded trust. To close this gap, a universal semantic layer is needed to standardize how data is defined, accessed, and interpreted. Cube Cloud is proposed as a solution that eliminates these root causes by centralizing metric definitions, providing consistent access to data, improving performance, enforcing security and governance policies, and rebuilding trust in the data.