Download - Multidomain MDM at Amadeus
Multidomain MDM Gartner MDM Summit 2014
Jean-Michel Collomb
Enterprise Architect
MDM Program Manager
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Index
_ Amadeus presentation
_ MDM Program Overview
_ Workforce MDM
_ Product MDM
_ Reference Data Management
_ Conclusion and advices
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Amadeus…
Our solutions facilitate journeys and enrich the travel
experience for hundreds of millions of people every year.
to shape the future of travel
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We are working together with
our customers and partners
We have a clear purpose
Amadeus is a technology company dedicated to the
global travel industry.
We are present in 195 countries with a worldwide team of more than 11,000 people.
Our solutions help improve the
business performance of travel agencies, corporations, airlines,
airports, hotels, railways and more.
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Amadeus in a few words
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A history of shaping the future of travel
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Connecting the travel industry
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We support the traveller life cycle
Post-trip
On trip
Pre-trip Book
Shop
Inspire
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MDM Program Overview
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MDM Program Scope
Workforce • Employee
• Organization
• Location
Product • Product
• Project
• Service
• Application
Customer • Account
• Contact
• Groups
• Contract
Vendor • Vendor
• Supplier
• Partners
Reference • Geography: Countries, Cities,…
• Commercial structure
• Airports, Airlines,…
• ..
Complexity
Priority
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MDM Program Roadmap
2013 2014 2015
Workforce
domain
Product
domain
Customer
domain
Reference
data
Workforce Data
Basic Employee data – Contributors – Comp. & ben.
MDM for Product & Service Data
Product – Project - Service - …
MDM for Customer
Data
MDM for Reference Data
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MDM Program
Architecture Overview
MDM Core
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MDM Program Data Governance process
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Workforce MDM
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Workforce MDM
Problem statement
Problem statement: Workforce data cannot be used globally for analysis and decision making because of poor quality.
Main quality issues with Workforce Data:
• Heterogeneous data: ACOs/Sites/Regions are using
different definitions, different values for the same data. • Example: Employee Group/SubGroup used to categorize
employee activity/inactivity
• Incomplete data: ACOs/Sites/Regions are not always
filling and maintaining all workforce data • Example: Birth date, gender, nationality… is missing
• Inconsistent data: ACOs/Sites/Regions do not always
follow the same rules for data maintenance • Example: ‘Retired’ employee still seen as ‘active’
Top down approach for a global MDM and Data Governance process : Define the Workforce data globally at company level
Improve and Measure the quality of the data
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Workforce MDM Data Governance
_ The Data Dictionary is the result of the Data Governance process, it contains the definition of all Workforce related data approved by all stakeholders.
_ It also include data quality rules and metrics.
Business
Stakeholders
Data Experts
MDM
Core Team
Review
Approve
Contribute
Review
Contribute
Publish
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Workforce MDM Data Maintenance
Amadeus Businesses
Data
Managers
MDM
Core team
Data quality analysis
Amadeus data
Data Quality dashboard
Data stewards
DIS
…
Fix data
quality “non
compliances”
support
Analyze data quality
metrics & KPIs
Define priorities
support
Dispatch and monitor
data stewardship
activities
Amadeus Businesses
_ The Data Quality Dashboard reflects the level of compliance of data against the quality rules defined by the Data Governance.
_ The Data Manager is driving the data stewardship (maintenance) activities.
_ The Data Stewards (Businesses, R&D,…) are either correcting the data to comply with the data Dictionary, or providing the necessary information to align the data with the data Dictionary
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Workforce MDM Data Quality Monitoring
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Workforce MDM
Employee view with Data Quality status
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Workforce MDM
Employee details with Data Quality non-compliance
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Product MDM
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Product MDM
Multiple facets of Product Data in Amadeus
Common Product
View
Product Management View
Marketing/Sales View
Branding View
Operations View
Development/PMO View
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Product MDM
Key Objectives
Setup a Data Governance process to build a common understanding of the multiple facets of Products and enforce the changes in business processes and solutions to align with it.
Deploy a solution that can rapidly improve the quality of Product data, guaranteeing its integrity over time and organizational changes, and provide a unique referential for all businesses.
Make the Product data available to enable the full Amadeus Organisation to base their decisions regarding Product on reliable facts.
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Product MDM
Approach
_ Leverage Existing Initiatives:
• Finance “Product Profitability”
• New CRM
• Marketing “Product Essentials”
_ Investigation phase
• Validate approach
_ Bottom up, Iterative, non disruptive implementation
• Iteration 1: Product Cycle Solutions
• Iteration 2: CRM Sales, Ordering/Billing
• Iteration 3: Help Desk, Training, Operations
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Reference Data Management
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Reference Data Management
_ Geographic Referential
• Countries / Regions (ISO)
• Amadeus Legal Entities
• Airports, Locations (IATA, ICAO,…)
_ Commercial Structure • Market hierarchies
• Distribution Channels
_ Currencies, Unit measures... • …
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Conclusion
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Conclusion and advices…
1. High level (exec) sponsorship is mandatory for the success of any MDM Project Do not under estimate resistance to change
2. Start small and achieve significant business value, get buy-in and expend MDM usage. Start with a business case that is visible and achievable in a reasonable timeframe
and budget
Mitigate risks of disruption on existing products / processes
3. Bottom up initiatives (Proto, PoC), focusing on small use case, can contribute on Data Quality and MDM awareness. Help stakeholder understand how their DQ problems can be solved by MDM, get
their buy in.
Switch to a Top down approach when awareness is there.
4. Manage expectations carefully Data Quality of often the root cause of wider problems
MDM is often just an enabler for other projects that bring the real value to the Business stakeholders
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Thank you
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