Post on 22-Jan-2017
Xpanse Analytics Platform
www.xpanseanalytics.com
Predictive Modelling is used to understand and predict:
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?
It requires a rare set of skills and a lot of experience
It takes a lot of manual data prep and the software might be very expensive
How it works
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800 ‘non-Targets’ (80% of the population)
200 Targets: future churners, defaulters on a loan, buyers, etc.(20% of the population)
Without any prioritising mechanism, we will get 20% conversion on each batch of customers
How it works
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Predictive Model is able to sort the customers by certain propensity (to buy/churn, etc)
High Scores (high probability of something happening)
Low Scores (low probability of something happening)
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1st decileThe 10% of population with highest scores
60% of them will ‘click, buy or die’ depending on what is our modelling target
10th decileThe 10% of population with lowest scores
None of them will ‘click, buy or die’
2nd decileThe second 10% of population with highest scores
40% of them will ‘click, buy or die’
How it works
The Lift Curve
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4
3
2
1
0
Lift
% of the targeted population
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
The Lift chart shows ‘how many times’ more customers we will get in each bucket (decile) comparing to random targeting
The CRISP-DM process
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Business
Understanding
Data
Understanding
ModellingModel
Validation
DeploymentData
Preparation
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Project duration - 2 months
Small - Cross Sell Model of Household Insurance for General Insurance
Total effort – 44 days
6 daysProject Manager
Data Scientist
Data Analyst
18 days
20 days
Some real-life examples from the past (1/3)
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Project duration - 3 months
Medium - Cross Sell Model of Savings Product for Bank
Total effort – 64 days
7 daysProject Manager
Data Scientist
Data Analyst
28 days
29 days
Some real-life examples from the past (2/3)
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Project duration - 9 months
Large – Churn Model for Telco
Total effort – 340 days
31 daysProject Manager
Data Scientist
Data Analyst
80 days
229 days
Some real-life examples from the past (3/3)
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What exactly are these high skilled resources doing
Steps semi-automated by data mining tools, such as
SAS Enterprise Miner, IBM Modeller or Alteryx
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What Xpanse automates
Steps semi-automated by data mining tools, such as
SAS Enterprise Miner, IBM Modeller or Alteryx
xpanse analytics - confidential materials
Demo Time