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New York2000
Jacques Cherrier
PNR database at AC Implementation overview and
its usefulness for Network Management
2
The presentation
• Update on AC’s PNR DB implementation– Platform– Delivered functionality– Sharing experiences
• Contribution to Network management– Current and potential usage
3
PNR data base
• One of the required step in AC’s migration towards OD Control
• First business driver: support OD yield management
• Became a foundation block for all other Network Management processes
4
Choices
• Transactional type architecture versus batch process– Bookings and cancellations passed in real-time
to an off-line YM process– Capture all PNR data and distribute to requiring
processes and systems
• In-house development versus purchase
5
Complex Problem
• PNR data parsing– Limited prior expertise (Group bookings...)
• Data base structure and architecture– Flight segments in OD
• Technically robust
• Could expand
6
ACUMA - Speedwing
• AC acquired Sales View
• Speedwing developed the PNR data parser– Live and history part of the PNR– Most data elements translated into a formatted
text file
• Data base developed by ACUMA– Oracle– Business Object as the query driver
7
Sales View basic features
• Nightly capture of PNR changes
• Include advance and departed bookings
• All relevant data elements– Segment data– Passenger related items– Point Of sales, GDS…
8
AC & ACUMA added the OD perspective to SV
• Capture the passenger flow by Origin and Destination trips (MIDT type rules)– not just individual flight segments
• Capitalize on the information available due to the introduction of OD control in RES– economic data (OD fare and bid prices)– married segments in OD...
9
Also added the ODIF data base
• Summary data base by flight, OD...
• Provides view trough time (DCP’s)
OD YYZ-LAXOD YYZ-LAX
11
Data stored
Sales View:• All currently active PNR’s up to start of RES
window• All departed PNR’s for 3 months in the past
ODIF• Advance booking up to start of RES window• 3 years of history
14
Roll-out
• Production data currently available
• To be deployed in May
• Phase 1: – Canned queries provided– Super user accessing the DB
16
Important Aspects
• Structure the data partitioning and indexes according to your environment– Speed of loading versus data retrieval– Design with the ability to archive
• Validate the PNR capture with other sources
17
Advance Booking Data Capture
RES
CurrentMIFlight
Segment data
Comparison
1% of PNR’s rejected
2% lower load
1% of PNR’s rejected
2% lower load
SalesView
PNR file
20
Yield ManagementOD forecasting
• Improve leg forecasts• “Simple” OD forecasts aggregated at the leg level
• Fits within the current Leg Based OD heuristic
• Within the Network Optimization framework• OD forecasting from booking data and market share
calculatione.g. AC should carry 10% of the market size on a new OD
21
Yield ManagementExamples of short-term potential
• Improve no-show calculation (in progress)
– Focusing on the probability that a PNR will travel– Summarizing the results at the leg level
• Retrieving valuable data (in progress)
e.g. Booking profile by OD-class for simulation
22
High Yield Discount class
0%
5%
10%
15%
20%
25%
30%
35%
5 10 15 20 25 30
Days Prior
% B
ooki
ngs ALL
YYZ-LAX
YYZ-LHR
Booking profile by OD-class for simulation
23
Schedule Optimization
• Replace the current itinerary based ticket data by the OD PNR feed (developed)
– more data elements (GDS…)– more exact for calibration
• corrective measure versus the MIDT data
– more timely (no revenue accounting cycle)
• Adjustment of the schedule by matching OD advance booking versus forecast
24
Pricing
• Tracking– Velocity of booking from pricing initiatives– Volume by POS
• Feed to pricing DSS– Action/re-action according advance bookings– Forecast by OD/fare basis
25
Financial Reporting
• OD based profitability (in development)
– Timely load out by OD itinerary for network based profitability
– Match against revenue and cost
• Budgeting process (in development)
– Advance booking merged with OD fares can provide status on the budget plan
26
The OrganizationThe Organization
YieldMgt.
PNR
PricingScheduling
FinancialReporting
Sales
Marketing
27
Integrated Network Management(Organizational structure and processes)
• PNR is key to crucial MI
• Product Planning– Market size– Flow pattern through hub ...
• Sales force effectiveness– POS importance– Revenue forecasting– Track channel of distribution...