AWSome Day Istanbul

1. Scalable Predictive Analytics
with AWS
08/11/16

2. Yaşarcan Yılmaz
Big Data & Machine Learning Engineer
• BSc in Computer Engineer with Minor Degree in Business
Administration from İstanbul Bilgi University
• MSc Student at Boğaziçi University
• R&D Engineer at OBASE
• Churn Prediction
• Time-Series Forecasting
• Big Data & Machine Learning Engineer at Insider
• Spark Streaming with Kinesis
• Content Based Recommendation
• Interest Based Segmentation
• Fast & Big Data Architecture

3. London Singapore Kuala Lumpur Jakarta Moscow Istanbul Dubai Warsaw
Accessible from an unified data engine, Insider enables marketers to
leverage personalisation, predictive segmentation and real-time
technologies to boost loyalty and digital growth.

4. Insider with Numbers
• 600 Million Unique Users / Month
• 11 Billion Page Views / Month
• 374 Million Personalisation Impressions / Month
• 5+ TB data collected / Month
• 3+ billion event data / Day

5. Some of Our Customers

6. A/B Testing Analytics
Multivariate
“Testing
Cross Platform
Targeting
Google
Analytics
Segment
Targeting
Personalisation Predictive
Analysis
E-mail
Targeting
Recommandation
Engine
Segmentation
Ecommerce Platform CMS
Website

7. Insider Predictive Analysis
The predictive mechanism automatically segments the customers
according to the behaviours on the website.

8. Predictive Modelling & Segmentation
• Age
• Gender
• Income
• Customer Life Cycle
• Never Active
• First-time Buyer
• Repeated Buyer
• Interest Based Segmentation
• Likelihood to Purchase Scoring

9. Predictive Modelling & Segmentation
• Customer Lifetime Value
• Standard
• High
• VIP
• Recommendation Engine
• View to View
• Buy to Buy
• User Based
• Content Based

10. WEB
Insider Fast & Big Data Architecture
REDIS
AMAZON ELASTIC
BEANSTALK
AMAZON KINESIS AMAZON LAMBDA
SPARK STREAMING
AMAZON S3
ELASTIC SEARCH
AMAZON
EMR

11. AWS Kinesis & Spark Streaming for Streaming Applications
AMAZON KINESIS SPARK STREAMING

12. AWS EMR with Spark for Predictive Analytics
AMAZON S3
AMAZON
EMR

13. Question & Answer
Thank you