Understand the key concepts, workflows, and terms related to CSI Score. Map your company's business requirements with the scores, KPIs, metrics, and insights offered by CSI Score.
- Why CSI Score?
Companies generate vast amounts of customer data across functions, but those signals often remain fragmented and isolated. When teams measure the same KPIs differently, it becomes difficult to understand what is truly changing or where to act. CSI Score resolves this by bringing critical customer signals together into one trusted score. It explains drivers, impact, and risk across the full customer lifecycle. This enables leaders to align decisions, prioritize action, and manage the business with confidence. - How CSI Score Works
Explore the technical architecture and the tiered calculation logic of CSI Score. Discover how Data 360, semantic models, and Tableau Next turn raw signals into weighted composite scores and a definitive executive metric. - Composite and All-Up Scores Available with CSI Score
CSI Score is built from nine composite scores that roll up into a single, trusted all-up CSI Score for the company. Grounded in established best-practices, each composite score is calculated from a set of customer signals normalized to deliver consistent behavioral, perception, and operational insights. Together, these scores act as critical decision signals across the customer lifecycle. The all-up CSI Score provides a clear measure of overall business performance that serves as a strategic anchor for prioritizing action and guiding key decisions. - Key Terms in CSI Score
Familiarize yourself with the core terminology used in Customer Signals Intelligence (CSI) Score.