Master Data Management model effectiveness in information technology company

The purpose of this quantitative with expert testimonies design method study was to identify and to further understand the Master Data Management (MDM) professionals' preferences and experiences with the suitable MDM models (Centralized Data Model or Federated Data Model) for an organization using 21 factors. The goal was to determine the best architectural model for managing master data; and help organizations to select the architectural model to bridge the gap between its divisions, technologies, and their stakeholders. A quantitative with expert testimonies design research model was developed to examine the effects of 21 factors on MDM's model selection. The study also addresses a significant gap in existing IT research related to MDM models. Information technology leaders must understand the impact of factors such as cost, quality, and availability on the MDM models. The results of quantitative study indicated that all factors except for Training, Reliability, Scalability, and Maintainability were found to be significantly contributed to the selection of the MDM architectural model. A review of the Expert Testimonies (ETs) reveals the effect of factors on selecting MDM models. This study will help leaders to better understand the factors that influence the MDM models and understand the expert testimonies and surveyed participants' points of view on selecting a model with respect to each factor such as cost, performance, and availability. Recommendations for advancing this research include analysis into the relationship between these factors with respect MDM model. For example, the relations between the delivery factor and the performance factor.