The aerospace industry is characterised by large data models operating over the products of the industry (e.g. satellites, aeroplanes, software) and the outputs of use of those products (e.g. data transmitted by satellites and aeroplanes to land and space/air based receivers). Because of the safey and reliability requirements of the industry, reams of data is stored about nearly every part used in the construction of aerial vehicles.

Much of the data used within the aerospace industry is electronically digitised and conceptual modelling of that data is important. The accuracy of each conceptual model is increased the more that electronically digitised information becomes an intrical part of the design and operational aspects of aerial vehicles.

Safe and reliable data use within the airline industry has long been understood to be of the utmost importance. Airline disasters and costly mistakes have been directly attributed to incorrect data entry and the systems that allowed incorrect data entry [1],[2].

Within the space industry, conceptual modelling of data and the subsequent use of that data has resulted in costly mission failures [3].

The aim of conceptual modelling is to reduce errors in underlying physical implementations of the data models produced, while maximising the utility of the data stored.

The Boston conceptual modelling tool is designed as best-in-class conceptual modelling software from a company dedicated to working with the aerospace industry.

[1] Varig Flight 254,
[2] "AirAsia captain entered wrong coordinates before aborted flight, ATSB finds",
[3] "Mars lander slammed into red planet after data glitch - CNN",
[4] "Russian satellite lost after being set to launch from wrong spaceport ...",