- What is Operational Intelligence?
- Operational intelligence, broadly, is the practice of using live operational data to understand and improve how work runs. It is an established industry term used across analytics, IT operations, and manufacturing, and it is usually applied to real-time monitoring of a single process or system.
- How does Donna Lightfoot define Operational Intelligence?
- Donna Lightfoot's Operational Intelligence™ methodology defines it as the discipline of connecting workforce strategy, customer experience operations, governance alignment, and enterprise execution into one operating view. The purpose is to see how a single operational decision affects customer outcomes, workforce sustainability, and business performance at the same time, rather than reading each on a separate dashboard.
- How is it different from operational reporting or BI?
- Reporting and business intelligence describe what happened inside a defined boundary, usually one function's data. Operational Intelligence™ as Donna Lightfoot applies it crosses those boundaries and attaches the view to an accountable owner. The measure of success is not dashboard coverage but whether someone can see a complete outcome and has the authority to change it.
- Why is it a prerequisite for AI readiness?
- AI acts on the operating model it is given. Without a cross-functional view, an organization cannot tell whether an AI deployment improved the outcome or simply moved cost and effort to another team. Operational Intelligence™ supplies that view, which is why it precedes AI investment in Donna Lightfoot's framework rather than following it.