Date of Conferral

10-26-2025

Degree

Doctor of Information Technology (D.I.T.)

School

Information Systems and Technology

Advisor

Donald Carpenter

Abstract

Organizations often make inferior decisions without business intelligence (BI) architectures. Information technology (IT) managers are increasingly concerned that without effective BI architectures, they forfeit data-driven intelligence, hindering organizational competitiveness, innovation capacity, and broader economic progress within their industries and communities. Grounded in the technology-organization-environment (TOE) framework, the purpose of this qualitative pragmatic inquiry was to explore the strategies used by data architects to implement BI architectures in the financial industry. The participants were six data architects who had successfully implemented BI architectures in the financial industry in the southwestern United States. Data were collected using semistructured interviews, field notes, and publicly accessible industry documents. Data were analyzed using thematic analysis, from which four themes emerged: (a) scalable systems, (b) strategic alignment with business goals, (c) supportive environment, and (d) user experience. A fundamental recommendation for data architects is to design BI architectures that are elastic, modular, and cloud-ready, providing an architecture that can expand with demand, data growth, and new tools without interruption. The implications for positive social change include the potential for BI architectures to transform hidden data into actionable insights that amplify diverse voices, promote equitable decision-making, strengthen organizational and societal resilience—enabling policymakers, communities, advocacy groups, and marginalized populations to hold institutions accountable, influence policy, and promote more intelligent and inclusive responses to emerging challenges.

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