Decision Support Databases

Six Key Questions!

Do you control all your own Data?

Passenger and Airline Data is an airline's most valuable asset. Do you control that data or is it held by your CRS or DCS or Travel Agents? How many other data sources do you have? Do you know whether your Scheduling and Airframe Capacity, your Frequent Flyer Club, Staff data, Credit Card Fraud Information, Problem Passenger List, E-Mail Marketing Lists are all accessible?

Are you charged each time you access your own data, or do you hold it in a data warehouse?

Is your data reliable?

Data from different sources is nearly always unreliable. Is it in the same format? Operational Databases use different data formats. For example, everyone would want to analyse "revenue". However each database may define "revenue" differently. 'Net of exchange rates', 'net of sales costs', 'net of operational costs'? Each department may therefore come up with different analysis unless the operational data is imported into a Decision Support Database.

Can all executives access the data 24/7?

You are a sales manager on holiday at a beach hotel, but with wifi. Can you log on and check the bookings for flights you are responsible for? Can you check the result with last month's bookings and then drill down and analyse which sales channels are performing poorly?

There is an agent 'bust out' taking place, does your data warehouse recognise the danger and send you an alert?

The Flight Register airline databases can be interrogated by all, authorised staff from any location in the world, 24/7.

Is your airline expanding?

You are certain to add new information sources if you are to expand your airline. Start capturing your passenger and airline data before it is lost.

Is your LCC model becoming a 'Hybrid' Model?

Some of your routes are often fully booked. You start using revenue management techniques to increase revenue. You decide to sell selected routes through travel agents. It is at this moment you need a decision support database, before it becomes too late to profit from your data.