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Extreme Decision- Making at eBay Gayatri Patel

Big Data Decision-Making

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Gayatri Patel, eBay, presents at the Big Analytics 2012 Roadshow The wonders of what data can do for an organization is measured in the productivity and competitiveness of their team's decisions. Some believe more data is the key. Agreed...but good decisions require more than just deriving intelligence from big data. In this dynamic market, the need to socialize and evolve ideas with other teams, quickly correlate information across sources, and test ideas to fail fast early are strong enablers to gain competitive footing. eBay¹s analytic and technology advancements garners insights and approaches that continue to help our employees tell their "data stories" and make better decisions.

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Page 1: Big Data Decision-Making

Extreme Decision-Making at eBay

Gayatri Patel

Page 2: Big Data Decision-Making

We All Make Decisions…

Page 3: Big Data Decision-Making

Our Decision Makers

“I love to connect

the dots to find out what is

driving our growth

and why!” “I love to monitor

the health of our global

operations with

confidence and tell great

stories to our BoD”

“I love to find unique anomalies that have not been discovered yet!”

Page 4: Big Data Decision-Making

Is Customer Brand improving with last

months’ new Motors campaign from our

Motors Mobile Application?

What is the latest revenue projection for our coupon campaigns

targeted to enhance Fashion Search for

large retailer listings?

Business Marketing Manager

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Source: McKinsey Global Institute “Big data: The next frontier for innovation, competition, and productivity”

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What Makes it Happen?

Lots & Lots & Lots of Data at eBay

Page 9: Big Data Decision-Making

BIG Data VVC

9

>50 TB/day new data

>100 PB/day >100 Trillion pairs of information

Millions of queries/day

>7500 business users & analysts

>50k chains of logic

24x7x365 99.98+% Availability

turning over a TB every second Active/Active

Near-Real-time

>100k data elements

Always online

Processed

Page 10: Big Data Decision-Making

Who Makes it Happen with Extreme Analytics at eBay?

Page 11: Big Data Decision-Making

“I love to connect the dots to find

out what is driving

our growth

and why!”

“I love to monitor

the health of our global

operations with

confidence and tell great

stories to our BoD”

“I love to find unique anomalies that have not been discovered yet!”

Analyst $$

Management & Executives

$$$$

PM & BM $$$

Researcher $

Decision Makers…

Page 12: Big Data Decision-Making

IT

Supply Chain Legal

Stra

tegy

Shipping

Search

Customer Support

Procurement

Corporate

Finance

Marketing

HR

Operations

Fraud

Capacity Planning

Facilities

Independent Data Marts = Silo Intelligence…

Page 13: Big Data Decision-Making

Semi-structured

SQL++

Structured

SQL

Low End Enterprise-class System

Contextual-Complex Analytics Deep, Seasonal, Consumable Data Sets

Production Data Warehousing Large Concurrent User-base

Discover & Explore Analyze & Report

150+ concurrent users

500+ concurrent users

Enterprise-class System

5-10 concurrent users

Unstructured

JAVA / C

Structure the Unstructured Detect Patterns

Commodity Hardware System

6+PB 40+PB 20+PB

Singularity Hadoop EDW

Data Storage & Processing Platforms

Page 14: Big Data Decision-Making

There’s No Technology Silver Bullet

Page 15: Big Data Decision-Making

Opportunistic Decisions

Enlightened Reasonings

Informative Measurements

Actionable Recommendations

What is happening?*

Why is it happening?*

How to take action?

• Trust • Quality

• Timely • Context

• Iterate…Test-What If…Collaborate-Share

Key Questions to Make Informed Decisions

Harmony Symphony Melody

Page 16: Big Data Decision-Making

Opportunistic Decisions

Informative Measurements

Harmony-Class Insights

50,000 ft

• Cross-Function Metrics • Business Performance

Summaries • Personalize views: • Dimensions • Attributes

• Deep Dive to Summarized Data

Harmony Health – Finance & Marketing Harmony Vertical (Customer/Inventory)

Harmony Trading & Trust Harmony Search & Behavior

Explore Cube

Quick…Easy…”Personalizable”…”Business-blessed”

Page 17: Big Data Decision-Making

Opportunistic Decisions

Informative Measurements

Harmony Verticals Harmony Trading

Enlightened Reasonings

Symphony-class Insights 10,000 ft

• Product Performance • Drill Downs • What-If/Ad-Hoc

Symphony Shipping

Symphony Transaction

Explore Cube Explore Cube

Symphony Enthusiast

Symphony Fashion

Harmony-class Insights

50,000 ft

Quick…Easy…”Personalizable”…”Product-blessed”

Page 18: Big Data Decision-Making

The DataHub Portal

• Dashboards • Reports • Views • Metrics • Measurements

Front End Analytic Assets

• Summary Tables • Aggregate Tables • In-Memory Caches • Data Feeds • Data Files • Base Tables

Back End Analytic Assets

Customer Inventory Trading Search Data

Enabling Services

ODW

EDW Singularity Hadoop

… …

Analytic Assets

Page 19: Big Data Decision-Making

Trust Product

Customer Product

Inventory Product

Trading Product

Search Product

Health Product

Behavior Product

Symphony Back-End

Symphony Front End

(1-3)

Harmony Front End

(4 only)

Common Dimensional Model

Insights Products

Page 20: Big Data Decision-Making

Q1 Q2 Q3 Q4 Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec

Health Insights

Trading Insights

Trust Insights

Harmony Health v3.0

Harmony Health v3.2 Harmony Health v3.4

Symphony v3.3 Symphony v3.5

Harmony Health v3.6

Symphony v3.7 Symphony v3.9

Harmony Trading

v1.0 Harmony Trading v1.2 Harmony Trading v1.4

Symphony v1.3 Symphony v1.5

Harmony Trading v1.6

Symphony 1.7 Symphony v1.17

Symphony v1.3 Symphony v1.5 Symphony v1.7 Symphony v1.9 Symphony v0.9

Symphony v0.11

Symphony 1.9

Symphony v1.11 Symphony v1.15

Symphony v1.13

3.0 4.0

2.0 1.0

Product Roadmap

• Extends value over time • Adapt & make available quickly • Continuous quality

Page 21: Big Data Decision-Making

Extreme Analytics at eBay

Advanced Analytic Infrastructures

Page 22: Big Data Decision-Making

Designing for the Unknown

>85% of eBay analytical workload is NEW & Unknown The metrics you know are cheap The metrics you don’t know are expensive – but high in

potential ROI Exploration & Testing are core pillars of an analytics-

driven organization 22

22

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More Tests

Better Tests

Better Decisions

Ownership & Confidence

Hypothesis Algorithm

Ideas Pattern Guesses

Assumptions

Behavioral

Attribution

Advanced

Simulation

Machine Learning

Experimentation: Build From Idea Up

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Platform Metrics For Sample Queries

Page 28: Big Data Decision-Making

Rapid-fire BI & Exploration

Purpose Built Applications

Desktop Self-service

Executives & Management PM & BU Managers

Analysts * Scientists & Researchers

Engineers

Executives & Management PM & BU Managers *

Analysts Scientists & Researchers

Engineers

Executives & Management PM & BU Managers

Engineers *

Enterprise BI Statistical Modeling

Analysts Scientists & Researchers *

* Primary authoring group

Business Centric Technology Centric

Executives & Management PM & BU Managers

Analysts Engineers *

BI Tools & Platforms

Page 29: Big Data Decision-Making

Self Service Analytics

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Thank You

Gayatri Patel [email protected]