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Establishing Cause and Effect from Data. Jason McFall, Causata. Use temporal information. Causes precede effects. Granger causality. Does wage inflation lead to price inflation, or vice versa?. U. W. P. X. Store all the detail, in time order. Website Session. Call Center Question. - PowerPoint PPT Presentation
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Establishing Cause and Effect from DataJason McFall, Causata
Use temporal informationCauses precede effects
Granger causality
W XP
U
Does wage inflation lead to price inflation, or vice versa?
WebsiteSession
WebsiteSession
WebsiteSession
Call CenterQuestion
Loyalty CardPromo Email
Loyalty CardSign Up
Major Product Purchase in Store
Store all the detail, in time order
filter customer journeystime
filter customer journeysalignrelative timetime
before after
Build models
U
XPXW
ImG
IR
T
D
BP
Bayesian networksAnalysing observational data is hard
ExperimentPut the science into data science
INTERVENTION
CONTROL
Split population randomly into two groups
Measure outcomes for both groups
Randomised Controlled Trials
Renewal rate
vsRENEW
your 12 month virus protection
SAVE 25%Renew your
12 month virus protection
Randomise
Concurrent control
badscience.net
Bandit algorithmsIncluding random exploration
confi
denti
al
response rate
Regulated exploration/exploitation
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Click on ad Acquire new customer
Retain Customer
Measure the right thing!
Credit: Flickr winnifredxoxo
Beware of bias
Beware of bias
Confirmation bias
Analysing observational data is HARD. It’s often much easier to do experiments!
Randomise
Use concurrent controls
Be alert to bias
Summary
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Thankyou