Impacts of In-memory Technology on Data Warehouse Architectures - A Prototype Implementation in the Field of Aircraft Maintenance and Service

Given today’s dynamic market situations, organizations need to internalize the capability to react flexibly on external and internal driven changes. Of course this capability must be supported by the IS landscape. This holds particularly true in the field of aircraft maintenance. For a service provider it is critical to know the age and structure of its equipment pool. This information is vital in offering processes to attract potential customers and to meet service level agreements of existing clients. As current Business Intelligence (BI) architectures fall short in supporting these processes in adequate time and flexibility, we introduce a prototype using an in-memory based BI architecture. The presented artifact proves to have the capability to support business critical processes in a new way. This leads to faster analyses supported by the BI system and also indicates enhanced agility for BI in terms of flexibility and adaptation.