Understanding Cause & Effect in Customer Behaviour

Presentation by Jason Macfall CTO Causata at Data Science London 23/04/12

Transcript

1. !"#$%&'("#)"*+,(-&$+.+/0$1'+ )"+,-&'23$%+4$5(6)2-%+ !"#$%&'()"**+&,-.& /0"#$%1(2"**&
3. 34$5#64& ($$786& 96*8:64;& "9946##& (4698<& ("49& *$;"*<;& ("49& $%*8%6&34$5#8%=& $%*8%6&>?4(@"#6& #<$46&>?4(@"#6& #<$46&>?4(@"#6& #<$46&>?4(@"#6&
8. A63#8<6& B6##8$%& A63#8<6& B6##8$%& A63#8<6& B6##8$%& ,"**&,6%<64& C?6#D$%& 728(9'8+,(%#+ :%232+/3()9+ E$;"*<;&,"49& B8=%&F>& '"0$4&G4$9?(<&& G?4(@"#6&8%&B<$46& & ;%%2<+2=+>3$+
9. ?9'$%+(?#<$164&0$?4%6;#& !"#$
10. (?#<$164&0$?4%6;#& (9)*"+ %#&'!(#$!"#$ !"#$ @$=2%$+ (A$%+
11. &1$"(%)2+%$12%#+ D16& D16& 8%<64"(D$%&$2&8%<646#<&
12. @-)9#+32#$9&+
13. $BC$%)3$"'+ + C-'+&23$+&1)$"1$+)"'2++ #('(+&1)$"1$+
14. ($%:64#8$%&4"<6& !"#
15. @("#)'+(9*2%)'53&+
16. %$)"=2%1$3$"'+9$(%")"*+ ,"?#"<"&1?#<&(@$$#6&<@6&"(D$%#&5@8(@&58**&;86*9&<@6&=46"<6#<&465"49+& 5@646&465"49&("%&36&"%;&2?%(D$%&56&58#@&<$&$>D18H6+&"%9&<@6&465"49#& 1";&36&96264469&<$&#$16&D16&8%&<@6&2?<?46& $%&'()(*#&*%(+# %(!)',(-%(+# %$<(%#&+ (1>2"&+
17. 9$(%"+(+123C9$B+'%$$+
18. A8<@&"**&<@6&9"<"+&("%& $>D18H6&$:64&<4?6&$,(*# +%'-#./")(%""#*,&$"# I8#8<&563#8<6&24$1& $%*8%6&3"%78%=& J6#6"4(@& (4698<&("49#& J6K?6#<& ">>*8("D$%&2$41& B>6"7&<$&"9:8#$4& 8%&34"%(@& B8=%& "=46616%<& .%=$8%=& 46*"D$%#@8>& ,?446%<&#<"<6&$2&<@6&"4<& 8#&<$&*$("**;&$>D18H6&6"(@& 8%<64"(D$%+&8%&<641#&$2& 811698"<6&%6L<&#<6>&
21. D$E%$+<2%F)"*+)"+6$%8+$B1)>"*+>3$&++ G"'$99)*$"'+#$1)&)2"&+<)'5+3(15)"$+9$(%")"*+ :%)"1)C9$#+$BC$%)3$"'(>2"+ ;'+3(&&)6$+&1(9$+ ,2""$1'$#+#('(&$'&H+5("#9$+(3@)*-)'8+ G"+%$(9+>3$+
22. <<<I1(-&('(I123J1(%$$%&+