New York 2000 Jacques Cherrier PNR database at AC Implementation overview and its usefulness for...

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

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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

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Complex Problem

• PNR data parsing– Limited prior expertise (Group bookings...)

• Data base structure and architecture– Flight segments in OD

• Technically robust

• Could expand

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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

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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…

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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...

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Also added the ODIF data base

• Summary data base by flight, OD...

• Provides view trough time (DCP’s)

OD YYZ-LAXOD YYZ-LAX

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ORACLE

PNR data Base Architecture

Sales View

ODIF

Nightly update

RESRS13

DCS

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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

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This is an example of selected objects and conditions

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Roll-out

• Production data currently available

• To be deployed in May

• Phase 1: – Canned queries provided– Super user accessing the DB

Sharing Experiences

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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

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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

PNR : Key to Network Management

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YieldMgt.

System System PerspectivePerspective

PNR

PricingScheduling

FinancialReporting

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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

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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

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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

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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

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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

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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

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The OrganizationThe Organization

YieldMgt.

PNR

PricingScheduling

FinancialReporting

Sales

Marketing

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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...

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“Gold in these PNR’s”

Louis Busuttil