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Informationen zum Autor Enda Ridge is an accomplished data scientist whose experience spans consulting, pre-sales of analytics software and research in academia. 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. Klappentext "The Savvy Manager's Guide"--Front cover. Zusammenfassung "The Savvy Manager's Guide"--Front cover. Inhaltsverzeichnis 1. Preface 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 ...
List of contents
1. Preface
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
Report
"... a very pleasant read.very useful to practitioners and managers who are newly responsible for data analytics or who have had difficulty in previous projects." --Computing Reviews
