ログから生まれる施策 / actions born from logs

Transcript

1. ϖύϘͷϩάz׆༻zج൫ʮ#JHGPPUʯ ࡒ௡େՆ
   
   (.0
   1FQBCP
   *OD
   
   8&#
   %*3&$5034
   4&44*0/
   7PM ϩά͔Βੜ·ΕΔࢪࡦ

2. σʔλαΠΤϯςΟετ
   
   σΟϨΫλʔ ࡒ௡େՆ
   
   ![BJNZ NJOOFࣄۀ෦

3. ϋϯυϝΠυϚʔέοτ
   NJOOF IUUQTNJOOFDPN

4. ໨࣍ w8FCαʔϏεͷߦಈϩά
   wϖύϘͷϩάz׆༻zج൫ʮ#JHGPPUʯ
   wࢪࡦ΁ͷ׆༻ྫ

5. 8FCαʔϏεͷߦಈϩά

6. 8FCαʔϏεͷߦಈϩά wϢʔβʔ͕αʔϏεΛར༻ͨ͠ࡍͷཤྺ
   wʮ͍ͭʯʮ୭͕ʯʮԿΛʯߦͬͨͷ͔
   w݁Ռ͚ͩͰ͸ͳͦ͘͜ʹࢸΔաఔ΍ɺ݁Ռ్தͰఘΊͯ͠·ͬͨϢʔ βʔͷߦಈ΋෼͔Δ

7. ߦಈϩάΛ࢖ͬͯ
   ΑΓྑ͍αʔϏε΁!

8. ׆༻·Ͱͷஈ֊ wऩू
   ߦಈϩά͕ग़ྗ͞ΕɺऔΓ·ͱΊΒΕ͍ͯΔঢ়ଶ
   w෼ੳ
   औΓ·ͱΊͨߦಈϩάΛࢹ֮Խɺ෼ੳͰ͖Δঢ়ଶ
   w׆༻
   ෼ੳͨ͠ߦಈϩάΛ΋ͱʹܧଓతͳαʔϏεվળ͕ߦ͍͑ͯΔঢ়ଶ

9. #JHGPPU IUUQTJDPOTDPN

10. #JHGPPU wϖύϘͷϩάz׆༻zج൫
    w෯޿͍δϟϯϧͷ8FCαʔϏε
    wϋϯυϝΠυϚʔέοτ
    NJOOF
    wωοτγϣοϓ࡞੒
    Χϥʔϛʔγϣοϓ
    wϩϦϙοϓʂϨϯλϧαʔόʔ
    wϩάऩू͔Β׆༻·Ͱͷ֤ஈ֊ʹ͓͍ͯ൚༻తʹར༻Ͱ͖Δશࣾج൫

11. #JHGPPU rack-bigfoot Service Request Activity log Services DB Attribute Big

    Cube Cube https://speakerdeck.com/monochromegane/pepabo-log-infrastructure-bigfoot Bandit algorithm/ Recommendation Re-targeting Feedback Name identification BI/Visualize

12. ऩू

13. ໊دͤ wαʔϏεͷΞΧ΢ϯτͱΫϥΠΞϯτʢ୺຤ɾϒϥ΢βʣΛඥ͚ͮ
    wैདྷ͸ΫϥΠΞϯτ͝ͱͷܭଌ
    wະϩάΠϯঢ়ଶͷΞΧ΢ϯτ΋ͦͷޙϩάΠϯͨ͠λΠϛϯάͰաڈʹ Ḫͬͯඥ͚ͮΒΕΔ
    wαʔϏεΛލ͍ͩඥ͚ͮ΋Մೳ

14. ෼ੳ

15. #JH$VCFͱ$VCF w#JHGPPU্ͷશͯͷϩάΛ#JH$VCFʹू໿
    w෼ੳͷ੾ΓޱʢσΟϝϯγϣϯͱϝδϟʔʣ͕ܾ·ͬͨΒ$VCFʹूܭ
    wྫʣ࣌ؒ͝ͱ஫จֹۚ
    wߴ଎ͳࢀর͕Մೳ Activity Big Cube Cube HiveQL

    SQL Dashboard Ad-hoc query Analyst Managers, Product owners, Promotion groups

16. ࢹ֮Խ w5BCMFBV
    wIUUQXXXUBCMFBVDPN
    wΞυϗοΫͳ෼ੳ΍ෳࡶͳσʔλ݁߹ʹ
    w3FEBTI
    wIUUQTSFEBTIJP
    w୭΋͕ࢀরͰ͖ΔμογϡϘʔυʹ

17. ύε෼ੳ wίϯόʔδϣϯʹؔ͢Δ෼ੳͷ͏ͪɺܦ࿏ʢύεʣʹओ؟Λஔ͍ͨ΋ͷ
    wύεͷ௕࣌ؒ͞ྨܕ
    wΞτϦϏϡʔγϣϯϞσϧ
    ϖʔδͷग़ݱҐஔʹΑΓॏΈΛม͑Δ referrer landing last cv ??? Point

    Analytics referrer landing last Path Analytics cv

18. ࢪࡦ΁ͷ׆༻

19. ཭୤Ϣʔβʔ΁ͷϦςϯγϣϯ wߦಈϩά͔Β཭୤ϢʔβʔΛநग़
    wΧʔτʹ౸ୡ͕ͨ͠ങΘͳ͔ͬͨϢʔβʔʢ͍ΘΏΔΧʔτམͪʣ
    w୹ظؒʹಉ͡࡞඼ΛԿ౓΋ݟ͍ͯΔϢʔβʔ
    wಛఆͷ৚݅ʹ߹க͢Ε͹ϓογϡ௨஌΍ϝʔϧͰϦςϯγϣϯ
    wϨγʔτϝʔϧͱಉ౳ͷ։෧཰ HiveQL Re-targeting

20. ޿ࠂ࿈ܞ wߦಈϩά͔ΒϢʔβʔΛηάϝϯτ
    wϢʔβʔʹؔ࿈ੑͷߴ͍޿ࠂΛදࣔ
    wطʹϦʔνͨ͠Ϣʔβʔʹ͸޿ࠂΛදࣔ͠ͳ͍ʢσϦλʔήςΟϯάʣ

21. όϯσΟοτΞϧΰϦζϜ w࡞඼ݕࡧը໘͔ΒͷརӹΛ࠷େԽ͍ͨ͠
    w$53ͷҟͳΔύλʔϯͷ࡞඼ݕࡧΞϧΰϦζϜ
    wച্ʹର͢Δൺॏ͕ଟ͍ҝʹγεςϜมߋͷϦεΫ͕ߴ͍
    w࠷ྑͷύλʔϯΛ࢖͍ͳ͕ΒΑΓྑ͍ύλʔϯΛಈతʹ୳͢

22. όϯσΟοτΞϧΰϦζϜ w&QTJMPO(SFFEZ
    "MHPSJUIN
    w֬཰ Џ Ͱͦͷ࣌఺ͷ࠷΋ظ଴஋͕ߴ͍ύλʔϯΛ࢖༻ʢ׆༻ʣ
    w֬཰ЏͰϥϯμϜʹબ୒ͨ͠ύλʔϯΛ࢖༻ʢ୳ࡧʣ Activity Epsilon-Greedy algorithm User

    1-ε: exploitation ε/pattern: exploration Click / Not click Import

23. όϯσΟοτΞϧΰϦζϜ wτϨʔυΦϑͷղܾ
    w׆༻͹͔Γ͍ͯ͠Δͱݱࡏͷظ଴஋ΑΓ΋ྑ͍࿹Λݟ͚ͭΒΕͳ͍
    w୳ࡧ͹͔Γ͍ͯ͠Δͱظ଴஋͕ߴ͍࿹͕ར༻͞Εͳ͍

24. Ϩίϝϯσʔγϣϯ wڠௐϑΟϧλϦϯάʹΑΔʮ͋ͳͨʹ͓͢͢Ίͷ࡞Ոʯ
    !NPOPDISPNFHBOF
    ʮNJOOF
    NFFUT
    )JWFNBMMʯ
    IUUQTTQFBLFSEFDLDPNNPOPDISPNFHBOFQFQBCPNJOOFNBUSJYGBDUPSJ[BUJPOJOIJWFNBMM

25. ϩάz׆༻zج൫

26. ϩάz׆༻zج൫ wᶃਓ͕ؒ෼ੳ݁ՌΛݟͯߦ͏੩తͳʮ׆༻ʯ
    wࢪࡦͷਫ਼౓޲্
    wᶄࣗಈԽ͞ΕͨϑΟʔυόοΫʹΑΔಈతͳʮ׆༻ʯ
    wͳΊΒ͔ͳγεςϜ