Abstract
All types of economic institutions have the potential to gather large data volumes related to the activities they are performing. Usually it is possible for the management of such an institution to take advantage of the volume of data that is available and to take informed decisions, based on the knowledge gathered over extended periods of time, instead of taking decisions only by the experience of the management team. In such a way, success on the long term can be attained and the institutions can further improve the quality of their offer to the customers.
Decision support data is usually stored in specialized databases or data warehouses that are hosted on specialized servers. These servers must be secured against all types of events that can impede their correct functioning.
The present paper is focused on modelling and describing a work frame with the requirements that ensure the security of data used by economic organizations. Among these requirements can be mentioned: the existence of business continuation and disaster recovery plans, the existence of escalation paths for solving problems in a timely manner, preserving the uniformity of data in order to make analysis processes more straightforward, in a shorter period of time.