Customer Management Framework
Framework enables organization to plug multiple systems into one centralized database sharing customer data.

Customer Needs:
In the 3rd quarter of 2005, a non-profit organization began the process of qualifying its needs for an organization-wide contribution system, which would be responsible for housing information regarding donations made to the non-profit organization. As the needs for the contribution system were analyzed, it became apparent that it would be necessary to integrate with the existing publications system, so that, redundant member records would not be created: once in contributions and then once again in publications. As a result, a combined contributions and publications system would be built. This combined contributions and publications system was to be called the MMS (Member Management System).

However, the non-profit organization soon realized that this problem of data redundancy does not only exist between the Finance Center and the Publications Center, but exists between the other organization centers as well. Representatives from other center’s were invited to present their needs for the MMS (Member Management System) and the discussion grew into a discussion about an ‘All-In-One’ organization software application. It was apparent that an ‘All In One’ system to satisfy everyone’s needs was not feasible economically or logistically.
In the past years as technology has become more available and as staff and member volunteers have become more comfortable with technology, each Center developed processes and digital data repositories (MS Excel, MS Access, etc.) to support their data management and reporting needs. In most cases, volunteer members send raw data via email, fax, mailed forms, telephone, etc. to system owners located in the zone and national offices, where the data would be keyed into the data repository. Since these data repositories were built unaware of the ‘organization’, the data repositories are self-contained and non-communicative resulting in inconsistent and redundant data.