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Major Domo: Building a data driven
culture at Rakuten
David Ramos
Rakuten Inc, Big Data Dept
@anotherdatageek
CONFIDENTIAL 2
Agenda
Who is
Best Practices &
Lessons Learned
Challenges
The Empowerment Company
CONFIDENTIAL 4
Shopping is Entertainment!
Powered by
Rakuten’s
Ecosystem
E-Commerce
Credit
Card
Banking
Securities Telecom
Travel
E-Money
Digital Goods
Portal &
Content
Database
Loyalty
Program
Log-In
CONFIDENTIAL 5
Diverse
E-Commerce Content Reservation
Pro Sports Finance ..and more
CONFIDENTIAL 6
Global • E-commerce in 14 countries and regions
• All services and businesses in 28 countries
CONFIDENTIAL 7
Innovative
Listed in Forbes Top 20
Building a Data Driven Culture
CONFIDENTIAL 9
A Global BI Ecosystem
CONFIDENTIAL 10
Capability Assessment
Discovery Discovery
TODAY
HISTORY
Daily Active Users
What
happened?
Why?
CONFIDENTIAL 11
Capability Assessment
Discovery Discovery
TODAY
HISTORY
Daily Active Users
FUTURE
Prediction
What
might happen?
CONFIDENTIAL 12
Capability Assessment
Discovery DiscoveryPrediction
What should
we do?
PREDICTION
Business Risk Identified
Action
Stable
Action
(Prescription)
Email?
Point?
Coupon?
Price?
…?
CONFIDENTIAL 13
Capability Assessment
Model developed by TDWI
CONFIDENTIAL 14
Data Platform Ecosystem
Discovery to Action
Dashboard Data Driven ServicesReporting and Visualization
Data Lake
CONFIDENTIAL 15
Domo Deployment at Rakuten
Data Lake
Global View
BU View
D2D
Category
View
Category
View
BU View BU View BU View
Local
Data
Sources
Super
DB
CONFIDENTIAL 16
Growing the Data Culture with Domo
54 Total Instances 807 Monthly Users61k Logins 1,542 Unique Users
+600% Growth
Year over Year
Challenges
CONFIDENTIAL 18
Global Expansion
Rapidly Expanding Worldwide from 2010
• E-commerce in 14 countries and regions
• All services and businesses in 28 countries
CONFIDENTIAL 19
Need for Platform Unification
Data Movement
Mess
Too Many Data Platforms
Group Companies Custom AppsEnterprise Apps
Too Many Reporting Platforms
2 3
1
4
$$$$ COST
API’s
File Processing
Direct DB
CONFIDENTIAL 20
Governance
Common KPI Definitions
Islands of Resources
Technical Debt
TCO
System Integrations
Lack of processes
Best Practices & Lesson Learned
CONFIDENTIAL 22
Keep it Simple Stupid!
We do not need a complex framework to start
CONFIDENTIAL 23
Expanding Self Service
BU View
Local
Data
Sources
Rakuten Data Lake
Phase1
Phase 1
Data Driven Apps
Phases 3 &4
CONFIDENTIAL 24
Center of Excellence
Visualize & Socialize Data
Self Service
Rapid Deployment
Cloud Platforms
Biz Optimization
• CoE Advantages Rakuten:
 Teams & Processes
 Development
 Deployment
 Knowledge Sharing
• By enabling global:
+
CONFIDENTIAL 25
Supporting BU Expansion
1 2 3
Connect to
Data
Sources
Transform
Data
Build Cards &
Dashboards
Biz
Unit
CoE
• Workbench
• Salesforce
• MySQL, MSSQL
• File extracts
• Playbooks
• API connectors
• Emailer
• Custom connectors
• Beast Mode*
• Data Fusion
• Data Flow
• Card-building
• Page management
• Users & Permissions
• Training
• Knowledge-sharing
workshops
CONFIDENTIAL 26
Play all your cards!
Data Source
Domo
KPI Cards
Data Flow
1-Click Playbooks
CONFIDENTIAL 27
Manage Sources
Connectors
Flat files
Data Center
Workbench
CONFIDENTIAL 28
Eat your own dog food
CONFIDENTIAL 29
Deliver Value QUICKLY!
DISCOVER DELIVER DRIVEDEFINE
Business
Optimization
• Biz Sponsor
• Projector Team
• Objectives
• Biz Drivers
• KPI
• Data Sources
• Dashboards & Alerts
• Guided Analytics
• 3rd Party Integrations / Playbooks
• Domo Training
• KPI to Data source Mapping
• Tech Specification for Ingestion
• Grow business
• Prep for deeper
analytics
Executed in 2-4 weeks
CONFIDENTIAL 30
Automated Executive Dashboards
Daily Paper Reports Dashboards
CONFIDENTIAL 31
Cultivate expertise
Periodic Best
Practices Training
CoE to BU’s
TOPICS:
• How to manage login accts, pages,
rights.
• Conventions (e.g., data source
naming, page naming, etc)
• How to define KPI’s
• How to implement into a card
• Playbooks
• Workbench
• Card-building, Beast Mode, etc.
• KPI forms
• Etc…
Periodic Cross-BU Knowledge
Sharing Workshops
CoE as Facilitator
TOPICS:
• Business Process Change
• How does a meeting change, now that
we have always-on data?
• How does data-sharing change the
decisioning process?
• Do we follow a DACI model in
DomoTalk, and hashtag our
#decisions?
• How do QBR’s change?
• Etc…
Create
skilled
Professionals…
…who
Optimize the
Business.
Thankyou!
David.Ramos@Rakuten.com
@anotherdatageek

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Hinweis der Redaktion

  1. We are global e-commerce company with a mission to empower our merchants and customers. Founded in Tokyo in 1997 by Hiroshi Mikitani
  2. That empowerment is achieved through a robust ecosystem built on our fundamental belief that shopping is entertainment. Our growth and success is a testament to the fact that our customers are looking for an experience and we have centered that experience on a industry leading customer loyalty program
  3. The first step in the journey to building a data driven culture starts with providing a rich ecosystem where everyone in the company has access to the same tools, same experience, and the data they need when they need it. This goes beyond just having a technology stack and requires an understanding of your organizations data maturity and making sure your solution matches current capabilities but can scale and grow as well