This document discusses the company's data strategy and initiatives across several areas: 1. Core data focuses on reporting, strategic analysis, and establishing a single source of truth. Data warehousing utilizes Tableau and Snowflake. 2. Data science performs predictive analytics for marketing, testing, and personalization. 3. The Rue data platform is built on serverless technologies, managed services like Snowflake and Tableau, and self-managed services in the cloud. 4. Future investments include enhancing KPI measurement, adding predictive capabilities to merchant tools, and real-time streaming for a dynamic site.

1. Data
March 2018

2. Core Data
• Reactive and Proactive Reporting
– Statement of fact, how business is performing
– RLL reports & dashboards
– Department centric reports – self service
• Strategic Analysis
– Slice and dice data to answer deeper questions
– Answer “why” for business
• Data Strategy
– “Single Source of Truth”(SSOT) - Identifying, Standardizing,
and Governing authoritative data sources
– Enter new business ideas or models

3. Data Warehousing/BI
“All business decisions are data driven”
• > 40% associates utilize Tableau
• Strong Tableau super user group
• >1000 workbooks in Tableau
• 20TB in Snowflake
• Continuous training and IronViz

4. Data Science
• Predictive Analytics for Marketing
– Revenue attribution, CLV, Segmentation
• Statically sound testing
– AB testing framework
• Enable Predictive power on site
– Personalization
• Recommendations - both content based and
collaborative filtering

5. Rue Data Platform
• Big - Bet on Serverless technology & Managed services
• Managed Services
– Snowflake
– Tableau
– Databricks (Spark)
– DynamoDB
– Oracle
• Serverless (Low level building blocks)
– Kinesis
– Firehose
– API gateway
– AWS Lambda
– AWS Batch + other services (e.g. ECS, S3)
• Self managed in the cloud
– Airflow (Containerized)

6. Rue Data Platform
• Model Relationships
• Driven by customer
needs & benefits
• Unlock new
opportunities
• Scalable
• Extensible
• Low operational
overhead
• Cost effective

7. Future Investments
• Understand business KPIs - Enhanced
framework for creating and measuring KPI’s
• Merchant Tooling - Add Predictive power
• Understand our Members – Product data
• Dynamic site, responds to member interaction
- Real Time streaming

8. People + Tech + Data
Innovation
“Today we can predict precisely how many shirts
in a certain size and color will be sold on a
defined day.“ – Amazon.com CTO, Werner Vogels
“Ability to use people’s strengths alongside data
science is the company’s secret sauce” – Stitch
Fix CEO Katrina Lake

9. Data Science Vision
“Derive Predictive power from data to improve
our competitive position and profitability”