| ID | 145244 |
| Title Proper | Big data and strategic intelligence |
| Language | ENG |
| Author | Lim, Kevjn |
| Summary / Abstract (Note) | This article examines the intersection of Big Data and strategic intelligence from a theoretical-conceptual viewpoint. Adopting Popperian refutation as a starting point, it approaches methodological issues surrounding the incorporation of Big Data into the intelligence cycle, and argues that Big Data analytics is best used to discern long-term developments, generate intelligence hypotheses, and adduce refuting facts. The article then briefly examines the use of Big Data via social media, an increasingly fertile platform for intelligence analysis. Finally, the article argues that despite its potential in filling our epistemic gaps, Big Data should continue to complement traditional subject-matter expertise, supported by game theory, as part of a tripartite analytical framework for strategic intelligence consisting of ‘subtext’, ‘context’ and ‘metatext’. In this respect, Big Data may well become the midwife for more open modes of intelligence management and, ultimately, a more open society. |
| `In' analytical Note | Intelligence and National Security Vol. 31, No.4; Jun 2016: p. 619-635 |
| Journal Source | Intelligence and National Security Vol: 31 No 4 |
| Key Words | Strategic Intelligence ; Big Data |