Airline AnalyticsBangkok Airways

Network & Fleet Management

Air Ticket

• 99 records/ 34 sections

• over 400 bytes per record

• PG has over 1.6M records / day***not including personal data

Profit and Revenue Optimization

Maximize Aircraft Utilization

Network & Fleet Management

Network & Fleet Management• Network Planning & Route Research

• Traffic & Schedule Planning

• Route Profitability & Alliance

• Pricing & Revenue Management

• Partnership and Reward Program

Source ATPCO

Life Cycle

NetworkManagement

FareFlight

Other Product

Sale/Flown/Operating Stat

Consumer

Supporting Data• Air travel demand by city pairs that showing original city, destination city and via city.

• Global flight schedule which also includes seat capacity

• Airport statistic which including passenger traffic, flight movement and nationality of passenger

• International tourist arrivals to the counties where the company operates flights or studies new routes

• Passenger statistic eg. Flight search, Booking Velocity, Itinerary

• Traffic Right

• Economic or GDP

• Market Share

• Fleet/Aircraft movement of competitors and airlines within region

• Aircraft Maintenance & Crew Scheduling

• Operational statistic in terms of flight hour, block hour, ground time and distance for aircraft rotation and calculate estimated cost for existing/new routes

• Route/Flight Performance

Example

Example.• Why Nationality, O&D & Connecting statistic important

to PG?Focus Target Market (niche market) Develop destination fit to pax behavior and multiple hub strategy (BKK/USM/CNX/HKT/HKG/SIN/KUL)

Revenue over 75%

Example.• More Aircraft Utilization ~ Lower Cost

Competition & Disruption

Destination Competition

Which do you consider the most important source of information during

travel planning?

by Adobe

“People are making decisions faster than ever before, and they expect to be able to act on those decisions instantly. We as marketers can make it

even easier for people to get things done”- Google’s VP of Marketing for the Americas Lisa Gevelber.

The future of travel by GoogleNew consumer behavior and the technology giving it flight

- Google/Phocuswright

“If a travel brand tailored its information and overall trip experience based on personal

preferences or past behavior, 36% would be likely to pay more for their services.”

“Personalization' is the keyword for future”

Customized Personal Offer

by Skift

• Are data driven — Customized offers rely on patterns gathered from data mining. They are built on insights from statistics, economics, marketing, and mathematical optimization. • Can empower customers — Customers could have more choices as airlines have more ways to meet their specific needs. • Are dynamic — Customized offers fit into an e-commerce trend toward adjusting prices and offers dynamically based on a variety of factors, such as inventory levels and customer demand. • Are clear — A customized offer clearly shows what is in and what is out of the offer to clearly represent the value proposition.

Loyalty & Reward Program

• 1 Million Member which PG can customize offer by - Profile - Interest- Location- Travel behavior - Payment

Personalize data

Appendix