The process of integrating heterogeneous data in financial services institutions, which has become the norm in today’s complex transactions, almost always results in an unusable product. The purpose of this study was to identify key organizational variables that could be used to develop an organizational model for the successful implementation of data warehouse products. The model was specifically aimed at data warehouse projects supporting both incremental and transformative organizational change. The qualitative research included integration of expert analyses, and review of data warehouse implementation processes. Twelve data warehouse professionals from financial services institutions in the Washington DC area were surveyed and the results validated by a panel of experts. The mean item response for each of the 28 Likert item responses was calculated using SAS version 8.2. A minimum value of 3.5 on a 5-point Likert scale was chosen to indicate positive relationship. The findings demonstrated that 9 of 10 previously identified organization variables were critical to the successful development and use of the model. These variables are: issues and barriers, commitment to change, organization goals, system requirements and boundaries, roles, procedures, skills, relationships, and evaluation. It is recommended that data warehouse managers consider using the model to more effectively integrate heterogeneous data and provide support for organizational change initiatives. In addition to providing a method to improve data warehousing products and increase the effectiveness of organization, the social significance of these results lies in extending this model to other organizations and areas beyond the financial services sector.