Revenue Management Performance Measures - Dieter Westermann Senior Vice President Revenue Management, Qatar Airways 08th December 2010, Istanbul ...
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
Revenue Management Performance Measures Dieter Westermann Senior Vice President Revenue Management, Qatar Airways IATA Commercial Conference 2010 08th December 2010, Istanbul, Turkey
Agenda • A few Words about Qatar Airways • Introduction • Performance Measurement Options • Performance Measurement in an O&D Organization • O&D Forecast Measurement • Summary
Agenda • A few Words about Qatar Airways • Introduction • Performance Measurement Options • Performance Measurement in an O&D Organization • O&D Forecast Measurement • Summary
TRULY GLOBAL AIRLINE Where Do We Fly? • 92 destinations worldwide • Network spans six continents What Do We Operate? • Modern fleet of 88 aircraft • Average aircraft age less than 3 years
QATAR AIRWAYS’ 2010 EXPANSION PROGRAMME • New destinations • More frequencies and extra capacity • Expansion of fleet • More than one new aircraft a month • Double digit growth • 2009 /10 passenger numbers exceeded 14 million
QATAR AIRWAYS GOING FORWARD • Targeting 120 destinations in under 3 years • Fleet size to grow to more than 120 aircraft by 2013 • Over 200 new aircraft pending delivery worth over US$ 40 billion
Agenda • A few Words about Qatar Airways • Introduction • Performance Measurement Options • Performance Measurement in an O&D Organization • O&D Forecast Measurement • Summary
Why measuring? Executive Management and other departments – Revenue management is an important commercial function, however often perceived as a “black box” – Does revenue management earn the money back they cost? Management of the department – Are we doing our job right? – Are there any shortfalls? - In specific parts of the organization - Related to specifics teams or staff members – Performance review and bonus for staff Revenue management staff – Am I doing it right? – What can I learn and how can I improve?
What to measure? Measurement can be implemented at various levels and stages along the work process – Impact of the “system as a whole” versus individual parts – Analyst against System We can decide to measure – Quality (e.g. accuracy of demand forecast) – Quantity (e.g. number of flight/dates reviewed) – Time-to-market (e.g. response to group requests) Measurement should focus on the final objective of increasing revenues – Some measures however can only be used to conclude that the particular topic helped to achieve this objective
Generic Revenue Management Business Process Pricing Forecasting Optimization Reservations Distribution Scheduling RM Analyst Revenue Management Business Inventory Control Process Pricing and scheduling provide the basic inputs Revenue management uses forecasting and optimization method with the objective of maximizing revenues Parameters calculated are used to control the selling of the inventory This presentation focuses primarily the core revenue management process
Agenda • A few Words about Qatar Airways • Introduction • Performance Measurement Options • Performance Measurement in an O&D Organization • O&D Forecast Measurement • Summary
Performance of the entire Organization Does revenue management increase the overall revenue of the airline? Forecasting Optimization Reservations RM Analyst Revenue Management Business Inventory Control Process Answers question of Executive Management whether revenue management is adding to the bottom line of the company May also help in the discussion with other related departments Doesn’t help steering the revenue management organization – This requires a more detailed view at the specific functions
Example: Revenue Opportunity Calculations Post-mortem optimization gives us an idea about how much additional money revenue management generated for the airline – Linear Program (LP) can be used to calculate optimal solution – Requires capacity, fares and unconstrained demand as input No RM Actual Optimal “first-come-first-serve” It is important to manage expectation as the optimal solution assumes perfect knowledge of future demand
Performance of a specific function: Forecasting Revenue management predicts various figures, e.g. – Passenger demand (Unconstrained and constrained) – Cancellation rates – No-show rates – Utilization of groups – Future average (net-net) fares Each of those numbers impacts a decision taken by revenue management The accuracy of those predictions impact the revenue results
Example: Demand Forecast Accuracy How accurate is the forecast compared to actual? 80.0% 75.0% 70.0% 65.0% 60.0% 55.0% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Flown Forecast How large is the forecast error? – Mean absolute deviation (MAD) and mean absolute percentage error (MAPE) Is the forecast biased (over-/underforecasting)?
Performance of a specific function: Optimization Various aspects of optimization can also be measured – Class mix – Over- and under-protection – Pre-departure upgrades – Overbooking due to cancelation and no-shows – Revenue opportunity captured – Seat factor on closed flights – Denied boardings / passengers flown
Example: Overbooking Performance Based on actual No-Show rates, excess demand and class closure information an overbooking potential can be calculated Optimal OB level defines the potential Flown OB passenger defines the capture opportunity Denied boarding cost needs to be deducted
Performance of a specific function: Groups Group Business – Accuracy of materialization rate – Displacement cost – Speed of decision for ad-hoc requests
Agenda • A few Words about Qatar Airways • Introduction • Performance Measurement Options • Performance Measurement in an O&D Organization • O&D Forecast Measurement • Summary
Revenue Management Organization at Qatar Airways 2008 Qatar Airways implemented O&D Revenue Management – Market teams organized by regional POS with Pricing integrated as part of those teams – Group desk manages group requests from all POS – Flight analyst groups manage regional groups of flights Group Mgmt (O&D/Request) Group Analysts Market Teams Inventory Control (O&D/POS) Group (Flight Leg) Pricing/Demand Analysts Flight Analysts Management Sales Region 1 Flight Analyst Group 1 .. Network .. . Optimization . by O&D Flight Analyst Sales Region n System Group n
Responsibility has been clearly assigned in the leg-based environment Flight Analyst works on most/all aspects of the assigned flight Forecasting and optimization is done for each flight leg independently Analyst A works Analyst B works on all aspects for on all aspects for Flight 1 Flight 2 AAA BBB CCC • Forecast • Forecast • Overbooking • Overbooking • Upgrade • Upgrade • Class Mix • Class Mix Reward analyst if Provide training results are to analyst if outstanding underperforming
In an O&D Environment World becomes more complicated O&Ds often span multiple flights Results in responsibility conflicts when measuring at flight leg level Analyst B works Flight 2 O&D 1 O&D 2 and O&D 2 Flight 1 Flight 2 AAA BBB CCC Analyst A works Flight 1 and O&D 1 O&D 3 Assignment of O&D 3 to Analyst A interferes with Analyst B Same problem happens for different POS
Responsibilities separated between O&D/POS and Flight Legs Pricing Forecasting Optimization (O&D) Demand Analyst Flight Analyst role has Flight Analyst been broken into two O&D 1 more specialized roles O&D 2 AAA BBB CCC Leg 1 Leg 2 AAA BBB CCC O&D 3 Pricing Analyst Pricing Analyst works closely with Demand Analyst at the O&D/POS level
Measure Performance along the Business Process according to assigned Objectives Pricing Analyst (O&D) – Besides regular pricing tasks responsible for fare input to optimization – Objective : Ensure good data quality and closure of data gaps – Measured against fare accuracy and completeness Flight Analyst (Flight/Leg) – Responsible for capacity Pricing optimization, e.g. Fore Optimi- Overbooking casting zation – Objective : Reduce seat spoilage while respecting Demand Analyst (O&D) company DB policy – Responsible for forecast quality at O&D (point-of- – Measured against achieved sale) level additional overbooking – Objective : Improve forecast results over and revenue reduced by denied above system forecast boarding costs – Measured against system forecast and forecast improvement over time
Agenda • A few Words about Qatar Airways • Introduction • Performance Measurement Options • Performance Measurement in an O&D Organization • O&D Forecast Measurement • Summary
Challenges of Measuring Forecast Error in an O&D Environment Unconstrained demand can not be known (applies to leg-based forecasting as well) – How many potential customers did you have? – History is constrained but forecasts unconstrained Understanding forecast error requires a high level view – There are million and million of tiny forecasts to measure Standard measures become difficult to be used – Percentage error gets very large - e.g. demand forecast of 0.01 - Most observations are 0 (zero) - Smallest observed number above zero is 1 (one)
Aggregation and Smoothing First forecast and actual are aggregated to a pre- defined “significant” level Forecast versus Underlying Signal and Signal with Random Error in order to avoid too small 150 140 numbers 130 120 The actual data is then 110 ACTUAL 100 being smoothed creating a 90 SIGNAL FORECAST curve in order to remove 80 70 “noise” in the data 60 50 0 4 8 12 16 20 24 28 32 36 40 44 48 52 Standard forecast Time in Weeks accuracy measures are being applied against the smoothed curve
Measuring Demand Analyst Performance Demand Analysts have two jobs – Diagnosis poor system forecasts – Take action to fix poor forecasts Measure effectiveness as a combination of these two activity Develop separate metrics Combine metrics into a single score
Measuring Demand Analyst Performance (II) Diagnostic power & effectiveness – Diagnostic power measures how well they found poor forecasts – Effectiveness in forecast improvement measures how well they corrected the poor forecasts they found Combine metrics into a single score – Perfect score vector, e.g. (100%, 100%) – Perfect score vector can be weighted by rotating away from the 45° line if diagnosis or effectiveness is judged more important
Agenda • A few Words about Qatar Airways • Introduction • Performance Measurement Options • Performance Measurement in an O&D Organization • O&D Forecast Measurement • Summary
Importance of measuring the Performance Performance Measurement is of vital importance – Internally Monitor and improve - Trace that work is on track - Learning by doing - Feedback loop to allow continuous improvement – Externally Gain support by other departments and management - Explain work process and decisions - Prove success Success is irrelevant as long as nobody knows about it
Summary and Conclusions There are plenty of ways to measure the performance of revenue management – Measurement can be done overall or by dedicated function – Most of the methods are public knowledge – Data is usually available in revenue management In an O&D environment measurement becomes more complex – It has to be done at the functional level in order to avoid overlaps – Number of forecast entities becomes very large – It becomes much less obvious that revenue management is on track – Other departments often continue reviewing results at the leg level Implementation and continuous enhancement of Performance Measurement is a high priority at Qatar Airways But…we still have a long way to go
Thank You for your Attention! Questions?
You can also read