The document discusses Amadeus' multidomain Master Data Management (MDM) program. It provides an overview of Amadeus' MDM roadmap and architecture, focusing on three key domains: workforce MDM, product MDM, and reference data management. For each domain, it describes the data governance process, key objectives, and approach to improve data quality and standardization across business units. It concludes by emphasizing the importance of executive sponsorship, achieving quick wins, bottom-up initiatives, and managing expectations for successful MDM programs.

1. Multidomain MDM
Gartner MDM Summit 2014
Jean-Michel Collomb
Enterprise Architect
MDM Program Manager
©2013AmadeusITGroupSA

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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…

4. Our solutions facilitate journeys and enrich the travel
experience for hundreds of millions of people every year.
to shape the
future of travel
©2014AmadeusITGroupSA
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We are working together with
our customers and partners
We have a clear purpose

5. 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.
©2014AmadeusITGroupSA
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Amadeus in a few words

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©2014AmadeusITGroupSA
A history of shaping the future of travel

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Connecting
the travel industry
©2014AmadeusITGroupSA

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We support the traveller life cycle
Post-trip
On trip
Pre-trip Book
Shop
Inspire
©2014AmadeusITGroupSA

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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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