Abstract
Businesses generate vast amounts of implicit and explicit data every second, yet effectively harnessing its full power remains challenging. Transforming generated data to beneficial knowledge is nearly impossible without a shared conceptualization of key variables, from the statistical aggregation of the relevant measures to the strategies of bringing benefits to society. That is, it is practically impossible for stakeholders to reliably extract actionable insights unless they can rely on mutually agreed semantic structures, commonly referred to as ontologies. This chapter introduces two such ontologies, the Environmental Social Governance Ontology (ESGO) and the Business Intelligence Ontology (BIO) because together they span the two opposite poles, theoretical and practical, that dominate contemporary business decision making.
| Original language | English |
|---|---|
| Title of host publication | Data-Driven ESG Strategy Implementation Through Business Intelligence |
| Publisher | IGI Global |
| Pages | 37-47 |
| Number of pages | 11 |
| ISBN (Electronic) | 9798337351445 |
| ISBN (Print) | 9798337351421 |
| DOIs | |
| Publication status | Published - 12 Aug 2025 |