- Présentation de la version 4.0 de PredicSis.ai avec les dernières évolutions
- Retour d’expérience et cas d’usage Lead Scoring chez Assurpeople avec Nicolas de Soubeyran
- Comment exploiter la puissance d'Amazon ML grâce à Predicsis.ai.
- Networking autour du buffet
2. Outline
E-commerce startup
● Context
● Data Science subject
● How to manage those subjects (without PredicSis.ai & AWS)?
Economy of scale problem
Solution: PredicSis.ai + Amazon ML
6. Outline
E-commerce startup
● Context
● Data Science subject
● How to manage those subjects (without PredicSis.ai & AWS)?
Economy of scale problem
Solution: PredicSis.ai + Amazon ML
10. E-Commerce startup - (Old) Data Science
Business Understanding:
Let start a marketing campaign
about red t-shirt buyers !
Orders table
Visited pages table
Email campaigns table
11. E-Commerce startup - (Old) Data Science
Data Understanding:
Which data seems to be relevant
to target red t-shirt buyers ?
• Number t-shirt orders?
• Time spend over t-shirt pages?
• etc. Orders table
Visited pages table
Email campaigns table
12. E-Commerce startup - (Old) Data Science
Data Preparation:
• Materialize a column red t-shirt buyers
• Number t-shirt orders:
• Filter t-shirt orders
• Count orders for each customer
• Time spend over t-shirt pages?
• Filter t-shirt pages
• Compute mean duration
• etc. Orders table
Visited pages table
Email campaigns table
13. E-Commerce startup - (Old) Data Science
Modeling & Evaluation:
• Fit a predictive model
• Evaluate the model
Reiterate until the perfection
Orders table
Visited pages table
Email campaigns table
14. E-Commerce startup - (Old) Data Science
BI report:
Few weeks after
Source: https://www.linkedin.com/pulse/5-kpis-matter-most-ron-palinkas/
15. Orchestrate a predictive
campaign
5 weeks !!!
Result analysis and reports
Few weeks after !!!
E-Commerce startup - (Old) Data Science
Source: https://www.slideshare.net/RCG_Global_Svcs/big-data-po-c-v41
20. Solution: PredicSis.ai + Amazon ML
PredicSis:
● Aggregates relational data
● Select and optimize features
Amazon ML:
● Fit a classifier
● … business as usual …
QuickSight:
● Reports
DEMO !
21. Lannion - HQ
5 rue Louis de Broglie
22300 Lannion
San Francisco
Suite 231, 2415 Third
Street
CA 94107, USA
Paris
3 rue Colonel Moll
75017, Paris
https://predicsis.ai/
D’autres questions ?
Contactez-moi
jbp@predicsis.ai
23. E-Commerce startup - (Old) Data Science
Business Understanding:
Let start a marketing campaign
about red t-shirt buyers !
Orders table
Visited pages table
Email campaigns table
24. E-Commerce startup - (Old) Data Science
Data Understanding:
Which data seems to be relevant
to target red t-shirt buyers ?
• Number t-shirt orders?
• Time spend over t-shirt pages?
• etc. Orders table
Visited pages table
Email campaigns table
25. E-Commerce startup - (Old) Data Science
Data Preparation:
• Materialize a column red t-shirt buyers
• Number t-shirt orders:
• Filter t-shirt orders
• Count orders for each customer
• Time spend over t-shirt pages?
• Filter t-shirt pages
• Compute mean duration
• etc. Orders table
Visited pages table
Email campaigns table
26. E-Commerce startup - (Old) Data Science
Modeling & Evaluation:
• Fit a predictive model
• Evaluate the model
Reiterate until the perfection
Orders table
Visited pages table
Email campaigns table
27. E-Commerce startup - (Old) Data Science
BI report:
Few weeks after
Source: https://www.linkedin.com/pulse/5-kpis-matter-most-ron-palinkas/
28. Orchestrate a predictive
campaign
5 weeks !!!
Result analysis and reports
Few weeks after !!!
E-Commerce startup - (Old) Data Science
Source: https://www.slideshare.net/RCG_Global_Svcs/big-data-po-c-v41
33. Solution: PredicSis.ai + Amazon ML
PredicSis:
● Aggregates relational data
● Select and optimize features
Amazon ML:
● Fit a classifier
● … business as usual …
QuickSight:
● Reports
DEMO !
34. Lannion - HQ
5 rue Louis de Broglie
22300 Lannion
San Francisco
Suite 231, 2415 Third
Street
CA 94107, USA
Paris
3 rue Colonel Moll
75017, Paris
https://predicsis.ai/
D’autres questions ?
Contactez-moi
jbp@predicsis.ai