A Decision Support System for fund raising management in medium-sized Organizations

In fund raising management, quantitative methods based on a structured Data Base of (potential) donors have a great importance. A modern approach is founded on a rigorous mathematical modelling, that has been specialized for different kind of Non Profit Associations, in order to maximize thee ffectiveness of the proposed Decision Support System (DSS) related to the available information and the level of com- puterization, which are normally strictly dependent on the size of the Organization. In the present contribution we propose a DSS specifically performed and focused on the medium-sized Organizations, which are not yet specifically considered by the literature. Both the mathematical modelling and the available data structure are specialized for this kind of Associations, by using a dynamic DB management approach that inte- grates the issues of the so called fund raising pyramid into the algorithm, by an automatic evaluation of the data set by time. Furthermore the key feature in estimating the probability of "giving" is enhanced, thanks to a refining process that is implemented for donors that have enough his- torical information.