He has consulted to clients in the public and private sectors including financial services, insurance, audit and IT security. Enda is an expert in agile analytics for real world projects where data and requirements change often, resources and tooling are sometimes very limited and results must be traceable and auditable for high profile stakeholders. His experience includes analytics to support the forensic investigation of a major US bankruptcy and the remediation a UK bank's mis-selling of financial products. He has also applied machine learning and NoSQL approaches to problems in document classification, surveillance and IT access controls. His PhD used Design of Experiments techniques to methodically evaluate algorithm performance.

Enda has authored or co-authored 12 academic research papers, is an invited contributor to edited books and has spoken at several analytics practitioner conferences.

Enda holds a Bachelor's degree in Mechanical Engineering and Master's in Applied Computing from the National University of Ireland at Galway and was awarded the National University of Ireland's Travelling Studentship in Engineering. His PhD was awarded by the University of York, UK.

Part 1: Principles

2. Introducing Guerrilla Analytics

3. Guerrilla Analytics: Challenges and Risks

4. Guerrilla Analytics Principles

Part 2: Practice

5. Stage 1: Data Extraction

6. Step 2: Data Receipt

7. Step 3: Data Load

8. Stage 4: Analytics Coding for Ease of Review

9. Stage 5: Analytics Coding to Maintain Data Provenance

10. Stage 6: Creating Work Products

11. Stage 7: Reporting

12. Stage 8: Consolidating Knowledge in Builds

Part 3: Testing

13. Introduction to Testing

14. Testing Data

15. Testing Builds

16. Testing Work Products

Part 4: Building Guerrilla Capability

17. People

18. Process

19. Technology

20. Closing Remarks

Appendix

21. Data Gymnastics

References