Factors Influence Data Management Model Selections: IT Expert Testimonies

This paper examines the IT Expert testimonies perspectives to determine which factors (cost, schedule, performance, efficiency, limitations, risk, training, operations, compliances, deployment, security, accessibility, dependability, data quality, stability, maintainability, reliability, availability, flexibility, scalability, and predictability) influence data management model selections. Discussions encompass most widely used data management models namely Centralized Data Model (CDM) and Federated Data Model (FDM). A review of germinal and current literature reveals there are various aspects involved in data management such as the software development process, organizational culture, current IT trends, development methodologies, metrics, management techniques, terminology, leadership, learning organizations, quality, process improvement, and emotional intelligence. The study evaluates factors such as cost, schedule, performance, efficiency, limitations, risk, training, operations, compliances, security, accessibility, dependability, data quality, stability, maintainability, reliability, availability, flexibility, scalability, and predictability and how they influence CDM and FDM model selection and implementation. Each factor has its own unique influence on data management. The purpose of this paper is to address Expert testimonies as to which factors most influence data model selection and will cover all aspects and attributes that contribute to the architectural model selection.