Making Sense of Ambiguity in Applied Analytics
Abstract
We often assume that applied analytics begins with clear questions, reliable metrics and well-defined data. In practice, however, many valuable analytical projects start in ambiguity. I see teams operate in situations in which the problem is loosely defined, the data reflects past system behavior rather than objective truth and success metrics are unclear or openly debated.
Fields of Study & Subjects
Big Data and Business Intelligence
Big Data Technologies and Applications
Data Visualization and Analytics
Publication details
- Publication date
- 3 March 2026
- Language
- EN
- Document type
- Dataset