IT integration in airline business process ITAB 2007 Grach Muradyan.

Slides:



Advertisements
Similar presentations
Minimum Connecting Time MCT - The Basics
Advertisements

© 2006 Amadeus IT Group SA 1 Amadeus Electronic Ticketing Direct – BD, TK, SU, KC in CIS Tatyana Luchshikova BSM.
© 2009 Amadeus IT Group SA Symphony - the new generation internet booking engine Riga 2 nd October 2009 Jan Barták, Jarosław Łoziński 1.
YQ Analysis from Pregem The solution to your airlines problems.
The Basics of Information Systems
Objective Our objective is to provide tailored business solutions to Airlines, Airports, Civil Aviation Authorities, and other aviation service providers.
Introduction to Information Systems.  Fundamental to  Planning  Marketing  Selling  Operating  Administering/Financing  Complying with regulations\
McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. 5 Capacity Planning For Products and Services.
CAPACITY LOAD OUTPUT.
© copyright Amadeus GTD S.A. / all rights reserved / unauthorized use and disclosure strictly forbidden New Generation Inventory Jean-Michel Sauvage.
School Store Operations Chapter 1
Revenue Management Tutorial
The Manager as a Planner and Strategist
© 2008 Amadeus IT Group SA 1 Internet in aviation IT industry Grach Muradyan Moscow 26 November 2008.
The Fundamentals of Enterprise Resource Planning Olayele Adelakun (Ph.D) Assistant Professor CTI Office: Room 735 CTI 7th Floor Phone: Fax:
Sabre Airline Solutions
Fundamentals of Information Systems, Second Edition 1 Information and Decision Support Systems Chapter 6.
Pricing in Supply Chains: Airline R evenue Management Salih ÖZTOP
Enterprise Resource Planning, 1st Edition by Mary Sumner
Supply Chain Management_Janat Shah Copyright© 2009 Dorling Kindersley India Pvt Ltd Supply Chain Management_Janat Shah Copyright© 2009 Dorling Kindersley.
1 Supply Chain Decision Support Systems ISyE3103.
Air Transportation A Management Perspective
OPSM 405 Service Management
Airline Revenue Management
SUSTAINABLE ENERGY REGULATION AND POLICY-MAKING FOR AFRICA Module 14 Energy Efficiency Module 14: DEMAND-SIDE MANAGEMENT.
Skeye Aviation Systems is a business unit of ARKYS ARKYS is a Microsoft Partner. ARKYS Team of developers and analysts are Certified Microsoft Silver Developers.
Airline Schedule Planning: Accomplishments and Opportunities Airline Schedule Planning: Accomplishments and Opportunities C. Barnhart and A. Cohn, 2004.
Features and Functions of Information Systems. What are information systems?  Information systems consist of software, hardware and communication networks.
Who is the best ? Which airline had : Double digit growth for the last 19 years ? Best operating margin ratio in 2003 ? One of the highest load factor.
Unisys “A Forecasting Method that Worked” Hossam Zaki AGIFORS RYMSG, NY March 2000.
Kuwait-15MAR051 2nd GCC BAR MEETING KWI – 15MAR05.
1 O&D Forecasting Issues, Challenges, and Forecasting Results John D. Salch PROS Revenue Management, Inc.
Topics Covered: Data Processing Data Processing Information Examples of data and information Examples of data and information Difference between data.
SCM of Samsung Electronics. Table of Contents 1. Introduction 2. Background 3. SCM Case 4. APS 5. SCM Timeline 6. Result of SCM.
Supply Chain Agility in the Volatile World 12 th June 2014 CII Conference of Next Generation Supply Chain.
Slide 1 Revenue Management Appendix 10A Revenue Management is the problem of the disappearing inventory. Managers must be flexible to change their predicted.
1 Messages Communication Conseil About Flight Firming and Revenue Management.
New York 2000 Jacques Cherrier PNR database at AC Implementation overview and its usefulness for Network Management.
O&D Demand Forecasting: Dealing with Real-World Complexities Greg Campbell and Loren Williams.
Copyright 2000 Prentice Hall5-1 Chapter 5 Marketing Information and Research: Analyzing the Business Environment.
1 Copyright © 2002 by PROS Revenue Management  Fare class rationalization is the process of aligning fares within fare classes so that leg/class revenue.
Timothy L. Jacobs, Elizabeth Hunt and Matt Korol Operations Research and Decision Support American Airlines May 2001 Scheduling and Revenue Management.
Improving Revenue by System Integration and Cooperative Optimization Reservations & Yield Management Study Group Annual Meeting Berlin April 2002.
Click to edit title. REVENUE MANAGEMENT AND DYNAMIC PRICING IN BRUSSELS AIRLINES.
Lufthansa Update on LH´s Path of O&D Control AGIFORS, New York, March 2000 Werner Tauss.
Lufthansa Looking for Feedback Performance Measurement in Revenue Management Stefan Pölt Lufthansa German Airlines AGIFORS Reservations & Yield Management.
Price Analyzer (PA) Presented by : Yudith Carmazzi Sulakshman Madala Vikas Reddy Vellakonda.
Capacity Planning Pertemuan 04
Marketing Marketing Indicator 1.05 Indicator 1.05.
1 MARKETING AND MARKETING MANAGEMENT Module 1. 2 Objectives Defining marketing and marketing management The scope of marketing Some fundamental marketing.
CH-8-Resource Planning Assist Prof Banu OZKESER December, 2015.
Pricing and Revenue Management
Amadeus Fare Filing Solution
Organizer July 2017.
Simple and intuitive fare conditions
Work Package 3 Data Management
TECHNOLOGY AND OPERATIONS MANAGEMENT
Tell me when you want to stay,
Consulting Services Aircraft scheduling. Block hour analysis.
Capacity Planning For Products and Services
Capacity Planning For Products and Services
The Basics of Information Systems
Developing the power sector in Federal Nepal Main lessons from international experience Kathmandu, November 06, 2018.
Production and Operations Management
Enterprise Resource Planning, 1st Edition by Mary Sumner
The Basics of Information Systems
ATC 2019 Beijing How to Unite Revenue, Personalization and Happy Customers in Harmony Gert Hartmans Data driven pricing of ancillary seating As ancillary.
Capacity Planning For Products and Services
Presentation transcript:

IT integration in airline business process ITAB 2007 Grach Muradyan

© 2007 Amadeus IT Group SA General principle Information Technologies allow airline  To be aware of…  To understand…  To describe…  In order to control !!! …but only in case IT is properly integrated in airline business process…

© 2007 Amadeus IT Group SA General principle  Airline industry operates in a dynamic environment  Variety of external and internal factors:  Changes in demand  Competitors actions  Fuel cost, etc…  Impossible to predict all the variations  IT complex should provide airline  Maximum info for planning  Maximum info for ongoing situation / status  Maximum flexibility and best tools to react on the ongoing situation  Minimum time for decision delivery to the market

© 2007 Amadeus IT Group SA General principle IT complex should be organized as a system with feedback (“autopilot scheme”) Airline commercial department MARKET Other factors Competitors Regulation Data collection Data analysis Objectives & planning Optimization Implementation Control

© 2007 Amadeus IT Group SA Airline IT modules  Objectives and Planning  Revenues and costs planning  Network planning  Schedule generation & optimization (max fleet & crew utilization with given restrictions)  Optimization: Revenue Management  Prognosis, based on the historical data  Availability and overbooking level recommendations  Reporting

© 2007 Amadeus IT Group SA Airline IT modules  Implementation  Schedule publication  Connections (ongoing) optimization  Operation and disruptions management  Inventory control  Nesting  Availability  Fares  Levels per class  Rules / limitations  Taxes

© 2007 Amadeus IT Group SA Airline IT modules  Control  Revenue Integrity: increasing load factor and efficiency of RM utilization  Time limits  Fake names (“test”, etc..)  Unreal bookings  Unproductive bookings  Distribution (in GDSs)  Married Segment Control  Long Haul availability  Dynamic Availability  Journey Data

© 2007 Amadeus IT Group SA Airline IT modules  Data collection (major airline data streams)  Billing Information (BIDT / ABI): bookings on own airline  Marketing information (MIDT): bookings on own + other airlines  Global  Regional  Express  Custom, etc…  Ticketing Data (ATD)  IATA Reporting / Hand Off Tape format files  ET Flight Coupons (LIFT files)

© 2007 Amadeus IT Group SA Airline IT modules  Major Data analysis tasks  Commercial analysis  Demand for the airline services  Bookings / cancellations distribution (per markets, flights, cabin / classes, departure dates, etc…)  TAs making passive, test, fake and other unproductive bookings  Revenue / ticketing info  Cashflow / stock control  Interlining  Source for Revenue Accounting systems  Technological analysis  Sales effectiveness (e.g. TK, UN,… levels)  Billing / accounting purposes  Understanding billing of IT service providers  Supporting airline claims

© 2007 Amadeus IT Group SA Data analysis examples distribution per month of departure Market and seasonality dependence (RU / Jan)

© 2007 Amadeus IT Group SA Data analysis examples distribution per month of departure Market and seasonality dependence (DE / Jan)

© 2007 Amadeus IT Group SA Data analysis examples distribution per month of departure Market and seasonality dependence (DE / May)

© 2007 Amadeus IT Group SA Data analysis approach From global to local  Being aware something is going not the way it was expected (e.g. irregularity)…  Understanding what exactly is happening ? (e.g. bookings jumping in low season)  Finding who exactly and why is doing this ? (POS: country->TA office ID)  Deciding how to resolve the issue ? (technological and commercial actions)  Analyzing how to prevent this happening again ? (e.g. changing airline policy)

© 2007 Amadeus IT Group SA Data analysis example Regularity in long-term observation ( peaks in Jan and Sep net bookings )

© 2007 Amadeus IT Group SA Data analysis example TA activity split by country & office

© 2007 Amadeus IT Group SA Data analysis example TA activity split by office

© 2007 Amadeus IT Group SA Distribution per month of departure: Jan bookings made by one TA office (“seats freezing”) Data analysis example

© 2007 Amadeus IT Group SA Passive bookings made by an office within just one day… Data analysis example

© 2007 Amadeus IT Group SA Last but not least… Need for IT policy coordination on top management level  Internal competition (trend) between departments within airline: IT being a TOOL for commerce  Commerce dictates what  IT decides how (the best)  IT proposes new tools / approaches  Permanent control on IT activity: info processing  Regularity  Frequency  Completeness

© 2007 Amadeus IT Group SA Thank you !