Inside Darwin Analytics
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The document discusses various aspects of data sources and their role in achieving marketing objectives, emphasizing the importance of insights over metrics. It highlights the need for effective channel evaluation and the evolution towards specific marketing goals, as well as the technological layers involved in data processing and analysis. Additionally, it touches on development practices such as test-driven development and the use of tools like Vagrant for efficient configuration and parallelization.
Inside Darwin Analytics
- 1. M O R E I N SI G H TS, L E SS ME T R I CS.
- 2. The tree has all the answers.
- 3. data sources
- 10. Effect Which channel is most effective in reaching your marketing objectives?
- 11. Cost Which channel is most cost-efficient in reaching your marketing objectives?
- 12. Evolution How am I evolving towards my marketing objectives?
- 13. Answers for who?
- 14. Mark Eaters
- 16. Third party connections data sources
- 17. Business logic layer magic
- 18. Business logic layer Harvesters Processors
- 19. Business logic layer Harvesters Processors
- 20. Business logic layer Harvesters Processors
- 21. Business logic layer Harvesters Processors
- 22. Business logic layer Harvesters Processors
- 23. Business logic layer Harvesters Processors
- 24. Presentation layer profit
- 26. “#TDD is the process of describing what code should do before writing it. Saying that you can’t do that is saying that you can’t think!” ~ @everzet
- 27. Fail fast, succeed faster. 130+ tests, 350+ assertions Still too low (no functional tests)
- 28. “Ink is better than memory” phpDocumentor 2 16k+ ncloc 8k+ cloc
- 29. Vagrant
- 31. Vagrant dependencies easy configuration
- 32. Parallelization
- 33. Parallelization Multiprocessing
- 34. Parallelization Multiprocessing Streaming
- 35. Parallelization Multiprocessing Streaming Message Queue
- 36. Machine learning
- 37. Build server
- 38. Whoops, there’s my exit! @jelmersnoeck