11 ways humans kill good analysis (kevin ertell)

Post on 04-Jul-2015

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We’re drowning in data in the eCommerce world. We can and do measure everything. But how do we get the most out of those numbers? Those mountains of data can be full of gold if we mine them correctly, or they can just be big piles of useless dirt. All too often, we misuse the valuable data we have and end up flailing away. Many of the reasons we aren’t happy with the results of the analyses come down to fundamental disconnects in human relations between all parties involved. Groups of people with disparate backgrounds, training and experiences gather in a room to “review the numbers.” We each bring our own sets of assumptions, biases and expectations, and we generally fail to establish common sets of understanding before digging in.

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#monetatesummit

11 Ways Humans Kill

Good AnalysisKevinErtell, Sur LaTable

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11 Ways Humans Kill Good Analysis

1. We hire reporters not analysts

Logical

Sequential

Rational

Objective

2. We turn analysts into reporters

Why is conversion down on Google

paid search?

Why is conversion down on Google

paid search?What’s'the'op+mal'marke+ng'mix'to'use'to'launch'Brand'X?

Why is conversion down on Google

paid search?What’s'the'op+mal'marke+ng'mix'to'use'to'launch'Brand'X?

Why'are'return'rates'growing?

3. We expect the data to be perfect and the analysis to be flawless

A man with one watch knows what time it is; a man with two watches is never quite sure.

4. We fail to define objectives and state our assumptions

5. We want numbers for number’s sake

KPIs

Suppor+ng'Metrics

Forensic'Metrics

Supporting metrics

KPIsSupporting metrics

6. We insist on simplicity

How likely are you to recommend this business?

• Large margins of error

• Low precision

• Low detection of movement • Interpretation problems

• Not very predictive

How likely are you to recommend this business?

All'we'did'was'quan+fy'this'common'sense'in'a'way'that'made'sense'to'business'leaders—the'target'audience'for'my'book.'These'prac+cal'leaders'have'liJle'interest'in'advanced'sta+s+cal'methods.'

All'we'did'was'quan+fy'this'common'sense'in'a'way'that'made'sense'to'business'leaders—the'target'audience'for'my'book.'These'prac+cal'leaders'have'liJle'interest'in'advanced'sta+s+cal'methods.'

These practical leaders havelittle interest in advancedstatistical methods

correlations

7. We just want the number

“Plans based on average assumptions are wrong on average.” -Sam Savage

8. We aren’t multilingual in the languages of business & statistics

Standard deviations

Standard deviations

Variances

9. We expect answers immediately

You’re approaching a Coast Guard security zone. … If you don’t stop your vessel, you will be fired upon. Stop your vessel immediately.

You’re approaching a Coast Guard security zone. … If you don’t stop your vessel, you will be fired upon. Stop your vessel immediately.

bang,'bang,'bang,'bangBang! Bang! Bang! Bang!

regression to the mean

10. We ignore our guts

Prefrontal cortex

11. We blow the presentation

Questions?Kevin'Ertell'

@kevinertell

Kevin.Ertell@SurLaTable.com

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