MDM and Data Governance

Transcription

1 Amadeus I T Group SA MDM and Data Governance June 2015 Jean-Michel Collomb

2 Agenda _ Overview of Amadeus _ History of MDM and DG in Amadeus _ The Data Governance Committee _ The MDM Program _ Conclusion and advices 21 Page 2

3 1 Overview of Amadeus

4 Amadeus I T Group SA Amadeus in a few words 1 _ Introduction Amadeus is a technology company dedicated to the global travel industry. We are present in 195 countries with a worldwide team of more than 12,000 people. Our solutions help improve the business performance of travel agencies, corporations, airlines, airports, hotels, railways and more. Page 4

5 A 2 0 madeus 1 5 Amadeus I T Group I T Group SA SA A history of shaping the future of travel 2 _ Amadeus history 1987 Amadeus is founded 1995 World leader in number of travel agency locations MILLION bookings made on a single day for the first time 2010 Amadeus diversifies into IT for hotel, rail and airport 1992 First booking made through Amadeus 1996 e-commerce division launched 2000 Partnership with BA and Qantas to launch Amadeus Altéa our core Airline IT offering 2014 Contracts with Ryanair and Southwest Airlines and a strategic technology relationship with IHG Page 5

6 Amadeus I T Group SA Connecting the entire travel ecosystem Cruiselines 1 _ Introduction Airlines Hotels Insurance companies Car rental Travel agencies Ground handlers Airports Ferry operators Ground transportation Page 6

7 Amadeus I T Group SA Supporting the entire traveller life cycle 1 _ Introduction Post-trip Inspire On trip Search Pre-trip Buy/Purchase Page 7

8 Amadeus I T Group SA We have a clear purpose 1 _ Introduction Our solutions facilitate journeys and enrich the travel experience for hundreds of millions of people every year. We are working together with our customers and partners to shape the future of travel Page 8

9 2 Master Data Management And Data Governance

10 History of Data Governance in Amadeus Jan 2012 Launch of GBS MDM Program, starting with Workforce MDM and Product & Service MDM Weakness in Data Governance identified as a major issue. Jul 2014 Launch of the Data Governance Committee for: Management of Data related requests Launch of new initiatives Jan 2014 TI & GBS launched a Data Governance Assessment study with EY and proposed: - A Data Governance Structure - A portfolio of projects to address data related issues Oct 2014 The Data Governance Committee approved the launch of 3 new initiatives: - Geography/Airport/Airline MDM - Travel Agency MDM - Air Inventory MDM Page 10

11 What is the Data Governance Committee Data Governance Committee Structure, Role & Scope Chairman Leading component of the Corporate Amadeus Data Governance DIS Member AIT Member CISO Group Privacy Decision-making authority, whose purpose is to approve data-related policies and to ensure execution NBU Member R&D Member Data Governance Committee LEGAL Member HR Member Exercises overview and authority over data-related activities GOPS Member GBS Member FIN Member Corp. Strategy Member Covers both Master Data & Transactional Data, Internal & External Data Gov Office Meets on a quarterly basis Page 11

12 Results realisation speed MDM Program Prioritisation matrix + Opportunistic initiatives (quick fixes) Fast business results (quick wins) Airline Inventory MDM Lowest priority or don t do Airline / Geo Reference MDM High business value in the long term Airline Customer MDM Workforce MDM Products & Services MDM - - Business Value Delivered Travel Agency MDM + Page 12 *Size of the initiative represents required effort: High (biggest), Medium or Low (smallest)

13 Portfolio of Data Related Initiatives Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q MDM initiatives Workforce MDM Basic employee data External Resources Products & Services MDM Product referential Airline & Geo ref MDM Airline & Airport Geo data Other data Travel Agency MDM TA MDM TA MNA TA Groupings Inventory MDM cabin class mappings Flight schedules aircraft capacity Transactions Transactional data management Overarching initiatives Data Governance support / Information Management capability Page 13

14 Workforce MDM 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 Page 14

15 Workforce MDM Data Governance Data Maintenance 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. _ 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 Page 15

16 Product & Service MDM Problem Statement _ Multiple ways and granularities for looking at Product and Services currently exist within Amadeus: Each Business Unit is maintaining their own Product and Service lists. Within each Business Unit, there is no consistent product view across the full Product Value Chain _ The multiple Product and Service lists are maintained in XLS documents: Limited Data Management capabilities Lack of consistencies between Product and Service lists _ Product and Service profitability analysis is complex and manual Product Management Product Cycle Sales Operations Training Help Desk Billing / Revenue Page 16

17 Product & Service MDM A common Product & Services Referential is beneficial to many business processes within Amadeus 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. Page 17

18 Reference Data Management Problem Statement _ Multiple Geography/Airport/Airline Referential in the company Official data sources for Airlines, Airports, Locations (IATA, ICAO, ) not always accurate nor complete No single version of the truth, no unique identifier Duplicated effort in maintenance process _ Multiple definition of Amadeus geographical structure (Regions ) Commercial structure Financial structure HR structure No clear ownership _ External Data procurement process not centralized Same data bought several times by different BUs Data not always shared internally Page 18

19 Reference Data Management Take the best of every data source (Official, open source) Centralized data management and distribution Centralized data procurement Central Data Management team Page 19

20 Information Management End-to-End Data Governance process support Manage Data Dictionary: - Business Glossary - Data Ownership Monitor Data Quality - KPI reporting to data owners and DGC Enforce Data Quality rules - DQ Management Manage Data Quality issues - Data Stewardship Page 20

21 Conclusion and advices 1. 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 2. High level (exec) sponsorship is mandatory for the success of any MDM Project Do not under estimate resistance to change 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 Page 21

22 2015 Amadeus IT Group SA A madeus I T Group SA Thank you You can follow us on: AmadeusITGroup amadeus.com/blog amadeus.com