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© 2011 Electronic Arts – Slide # 2
CME Summit
Scottsdale, September 18th-20th , 2011
Enabling Business Strategy with Effective Data Management
Raoul Schuhmacher, Sr. Director Enterprise Architecture
Electronic Arts, Inc.
© 2011 Electronic Arts – Slide # 3
Today’s Agenda
• Overview of the Gaming Industry and Electronic Arts, Inc
• Case Study: Enabling EA to lead Digital-to-Consumer
‒ Common Master Data
‒ Data Integration
‒ Single Data Warehouse
‒ Common Metrics
‒ Business Intelligence
‒ CRM/Campaign Management
• Lessons Learned
• Q&A
© 2011 Electronic Arts – Slide # 4
2009 2010 2011 2012 2013 2014
Advertising 1,554 1,843 2,135 2,388 2,598 2,845
PC 3,816 3,731 3,672 3,608 3,540 3,483
Wireless 7,313 8,467 9,642 10,957 12,021 13,061
Online 11,655 14,127 17,068 20,781 25,258 30,593
Console/handheld 28,169 30,000 31,334 32,873 34,674 36,774
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
90,000
100,000
Gaming Industry Outlook
• Media & Entertainment Industry includes Television, Film, Music, Radio, Video/Computer Games, Publishing, Advertising
• Games is one of the fastest growing segments in the media & entertainment industry
• Stable revenue stream in traditional console / packaged goods gaming
• High growth opportunities in Online & Mobile gaming
$B
Source: PwC Media & Entertainment Industry Outlook
© 2011 Electronic Arts – Slide # 5
• Founded in 1982 (Nasdaq: ERTS)
• GAAP Net Revenue for CY10 $3.48B
• Global Headquarters in Redwood City, California
• 8,000+ employees worldwide
• Leading global interactive entertainment software company: EA develops, publishes, and distributes interactive software worldwide for video game systems, personal computers, wireless devices and the internet.
• In 2010, EA launched five games which sold in more than five million units each – FIFA 11, Medal of Honor, Madden NFL 11, Need for Speed Hot Pursuitand Battlefield: Bad Company™ 2.
• In Western markets in the third quarter of fiscal 2010, EA was the #1 publisher in the Apple App StoreSM for both iPhone® and iPad™ and #1 on Microsoft Windows® Phone 7.
• EA is the #2 publisher of Social Media games as result of acquisitions including Playfish and PopCap and the recent release of SIMS Social on Facebook
Overview of Electronic Arts
© 2011 Electronic Arts – Slide # 7
Consumer 360 Vision
Demographics
Engagement
Behavior
Commerce Behavior
Product
Profile
GameplayBehavior
Response
History
Full
Un
de
rsta
nd
ing
of
Wan
ts a
nd
Nee
ds
Customer Development
Optimize D2C Marketing
High Satisfaction & Loyalty
Market Opportunity
Product Development
Grow Sales
© 2011 Electronic Arts – Slide # 8
• Foundational Building Blocks ….
– Common Master Data
– Data Integration
– Single data warehouse
– Common Metrics
• …. To enable Business Capabilities
– Reporting and Analytics
– Campaign Management
How to get there?
© 2011 Electronic Arts – Slide # 9
Extensive set of offerings…
86
11
78
13
24
15
46
131
….anywhere you are
© 2011 Electronic Arts – Slide # 10
Approach
Governance and Process First, Technology Second
1. Governance
•Data standards•Data Quality
3. Process
•Data creation•Data maintenance
2. Organization
•Business Data Ownership•Data Management•Data Stewards
4. Technology
•MDM System•EAI/ETL•Workflow•Presentation/Portal
SuccessfulMDM
View information as strategic asset
Dri
ve b
y b
usi
nes
s va
lue
Lin
k to
str
ateg
ic o
bje
ctiv
es
Enable with change leadership
© 2011 Electronic Arts – Slide # 11
Governance
Business Community Information Technology
Dedicated to the administration
and maintenance of Master
Data
Maintenance
Facilitates the Change Control
process
Work with Business/IT to drive
impact assessment
Communicates Changes
Maintains and administrates
MDO standards and policies
Change Management
Focuses upon Data Quality
Performs Data quality audits for
adherence to standards
Assists with control
assessments
Tracks issues & drives
resolution
Data Quality & Controls
Master Data Organization (MDO) Clear ownership of MDM
MDO comprised of decision-makers
Stewardship and support partnership of Business Users and IT
Leverages Governance Model from Project Initiation
© 2011 Electronic Arts – Slide # 12
Benefits
• Consolidated, cleansed and standardized product date – from
250,000 to 75,000 SKUs
• Consistent understanding of product offerings across all
business models
• Decision makers driving the process, clear workflow and audit
trail
• Single point of entry / source of truth for product data
• Ability to auto-generate master title plans
• Flexibility to support new requirements and business
transformation
© 2011 Electronic Arts – Slide # 13
VMI
Reporting
ERP
Demand
Planning
Logistics
EDI
Logistics
Demand
Planning
VMI
ERP Reporting
iHub
• Point-to-point connectivity
• Distributed development and support, no governance, Integration cost ‘hidden’ in projects, more overhead
• “Tightly coupled” integration, requires re-work for every sender/consumer change, e.g. ERP consolidation roadmap will require to change all interfaces
• Extensive regression testing upon change
• No re-use, no efficiency gains over time
• Perpetuates obsolete legacy environments
• Publish/subscribe connectivity, reduced number of interfaces
• Integration factory approach, centralized governance, development and support, less overhead, integration cost visible
• “Loosely coupled” integration, shields systems from changes
• Encourages data standardization, enables publish once/subscribe many paradigm
• Foundation to leverage for future integration needs
• Simplifies M&A integration
• Simplifies application consolidation/retirement
• Integration Review Process to facilitate consistent decisions
• Enables roadmap to retire legacy
Curr
ent
Sta
teTarg
et
Sta
te
Data Integration Services
© 2011 Electronic Arts – Slide # 14
DW/BI Current State
DataMart
DataMart
EDW
Reporting
Source Integration Aggregation Reporting
Data Warehouse Reporting
Metrics
Analytics
Reporting
Reporting
Reporting
Reporting
Reporting
CDS
External
Source
Source
Source
Source
ERP 3
ERP 2
ERP 1
Source
Source
MDM
Source
Source
WebApp
DataMart
Dashboard
Source
External
Reporting
Reporting
ODS
Fragmented Source Systems
Point-to-Point IntegrationMultiple data stores
Lack of data model
No business rule documentation
Silo reporting solutions
Multiple technologies
© 2011 Electronic Arts – Slide # 15
EDW/BI Target State
Source Integration Aggregation Reporting
External
Source
Source
Source
Source
ERP 3
ERP 2
ERP 1
Source
Source
Source
Source
Source
External
CitadelEnterprise Data Model
& Data Warehouse
Dashboards
CitadelReporting and Analytics
Services
Std Operational Reporting
Std Management Reporting
Ad hoc Reporting
Self Service Reporting
AnalyticsServices
Outb
ound S
erv
ices L
ayer
Data
Itn
egra
tion
Serv
ice (
iHub)
MDM
Enterprise Data model
Data IntegrationEnterprise Data Warehouse
Data integrity
Security and compliance
Reporting/Analytics Service
CRM
© 2011 Electronic Arts – Slide # 16
Benefits
• Single source of truth for all enterprise information, ability to
gain new insight from having all data in a single place
– Global reporting on retail sales
– Consolidated reporting for all digital revenue sources
• Focus on gaining business value from data vs. chasing data
• Improved end-user experience due to consistent
presentation layer vs. multiple disparate tools
• Increased end-user productivity due to increased data
quality
• Reduced IT operations cost (h/w, s/w maintenance, s/w
licensing, support and development staff)
© 2011 Electronic Arts – Slide # 17
Digital Metrics Vision and Goal
• High level company wide
metrics assessing health
of business
• Regional / Business Unit
metrics used for tracking
performance against goals
at detailed level
• Studio/Function/Process
specific stats and metrics
to support process
execution
Executive
Management
Transactional
Label or
Function
specific data
marts, reporting
solutions
CITADEL
(Teradata DW
and
MicroStrategy
reporting
environment)
Co
mm
on M
aste
r D
ata
and
Dim
ensio
ns
Establish a set of metrics that can be held as constants across business units
and regions to enable us to drive and monitor revenue growth, operational
efficiency, profitability, and customer satisfaction in our business.
Establish a single source of truth that empowers business users to make better
business decisions based on the right information at the right time.
Operational
© 2011 Electronic Arts – Slide # 18
• Metrics Council - the governing body responsible to approve, monitor, and review access and process changes to the Tool
• Power User – User with additional access to Reporting Data Model
• Data Steward – User with additional governance responsibilities. Data Stewards are representatives from Business Units, Functions, and Regions who will represent their respective constituency during data definition and drive adoption of agreed upon definitions within their respective constituency, including any process changes and source system data clean-up initiatives. They also act as first line trainers, trouble-shooters, and point of communication.
• Super User – User with access to Tier 1, Tier 2, and Tier 3 reports. Super users are further categorized into:
• Tier 1 Report – Predefined dashboards with basic filtering capabilities for Executive and Management reporting
• Tier 2 Report – Predefined report templates with wizards that guide the end User to create reports for specific analysis
• Tier 3 Report – Dynamic report with option to add/remove objects and build derived metrics
• General User – User with access to Tier 1 and Tier 2 reports
Governance
SUPER USERS
Tier 1, 2, and 3
GENERAL USERS
Tier 1 and 2
SPONSORS
CFO, CIO
METRICS COUNCIL
Governance
POWER USERS
+Data Model
DATA STEWARDS
+Governance
© 2011 Electronic Arts – Slide # 19
Reporting & Analytics
• Single set of reports based on consistent definitions of metrics and dimensions
• Complete view of business performance• Data structures enable self-service, ad-hoc reporting and analysis• Improved data quality increases user productivity• Timeliness of data accelerates ability to make decisions
© 2011 Electronic Arts – Slide # 20
• Custom Messaging
– Personalization
– Segmentations
– Prospects
• Custom Timing
– Demo/Online-pass follow up
– Game progress
– Conversion
• Cross-Sell/Up-Sell
– Franchise
– Download
– EA division
CRM Use Case
0
50
100
150
200
250
Delivered
Opened
Clicked
*) FY11 = Projection
© 2011 Electronic Arts – Slide # 21
CRM Analytics Capabilities
Percentile Profiling
Cross-SegmentBehavior Trend
Analyzes consumer behavior and activity of segments over time
Example –Show me all consumers who spent >$10 in PDLC for FIFA August, and spent <$10 in PDLC for FIFA in September.
Analyzes the intersections of groups of people with user defined measures. Similar to Excel.
Example –Show me consumer counts by Gross Bookings and Game-play Time Band
Splits customers into groups, ranked by e.g. revenue or items purchased. User can choose the number of splits or groups (decile, quantile, etc.)
Example – Segment consumers in deciles based on Q4FY11 gross bookings for all Sports titles
AffinityPattern Detection
Enables you to select measures, product segments, and date ranges to pinpoint specific customer purchasing affinities.
Example – What micro transactions are the most popular with consumers that have purchased the Vietnam Expansion Pack?
Identify predictors of future events. Discover which products customers purchase with other products over time, or customer activity leading up to and after a significant event.
Example – What is the most likely time that a consumer purchases any PDLC after the activation of an online entitlement for a First Person Shooter game?
© 2011 Electronic Arts – Slide # 22
• Align initiatives to business strategies and priorities
• Find areas of business sponsorship and start with governance; without that, the target state will look like current state
• Define and implement process before technology; solve the what before the how
• Consistently deliver incremental business value in context of a strategic roadmap; maintain stakeholder engagement
• Establish loosely coupled data integration based on standards; flexibility to manage change
• Consider consolidating data related activities into one IT organization to accelerate alignment and progress
• Plan data warehouse migrations carefully; they are complex
Lessons learned