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Inside Darwin Analytics
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Inside Darwin Analytics

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A small look into the development side of Darwin Analytics.

A small look into the development side of Darwin Analytics.

Notes: https://gist.github.com/jelmersnoeck/5005575

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    Inside Darwin Analytics Inside Darwin Analytics Presentation Transcript

    • M O R E I N SI G H TS, L E SS ME T R I CS.
    • The tree hasall the answers.
    • data sources
    • magicdata sources
    • profit++magicdata sources
    • Overview & insightsAdviceFuture
    • Overview & insightsAdviceFuture
    • Overview & insightsAdviceFuture
    • Answers to what?
    • Effect Which channel is most effectivein reaching your marketing objectives?
    • Cost Which channel is most cost-efficientin reaching your marketing objectives?
    • EvolutionHow am I evolving towardsmy marketing objectives?
    • Answers for who?
    • Mark Eaters
    • Third partyconnections data sources
    • Business logic layer magic
    • Business logic layerHarvesters Processors
    • Business logic layerHarvesters Processors
    • Business logic layerHarvesters Processors
    • Business logic layerHarvesters Processors
    • Business logic layerHarvesters Processors
    • Business logic layerHarvesters Processors
    • Presentation layer profit
    • Future: API layer
    • “#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
    • Fail fast, succeed faster. 130+ tests, 350+ assertions Still too low (no functional tests)
    • “Ink is better than memory” phpDocumentor 2 16k+ ncloc 8k+ cloc
    • Vagrant
    • Vagrantdependencies
    • Vagrant dependencieseasy configuration
    • Parallelization
    • Parallelization Multiprocessing
    • Parallelization Multiprocessing Streaming
    • Parallelization Multiprocessing Streaming Message Queue
    • Machine learning
    • Build server
    • Whoops, there’s my exit! @jelmersnoeck