Citation :

Shreesha Hegde Kukkuhalli, 2023. "Multi-Year Data Architecture and Strategy Roadmap for Global Fortune 500 Enterprises" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 1, Issue 1: 136-140.

Abstract :

In today’s data-driven economy, Fortune 500 firms recognize the strategic importance of robust data architecture to sustain growth and innovation. This paper presents a multi-year roadmap designed to create a comprehensive data architecture strategy that aligns with business needs, enables data governance, and supports scalable analytics. By adopting a phased approach, this roadmap addresses challenges related to data silos, regulatory compliance, and the need for agile data systems. Case studies illustrate the real-world impact of implementing this roadmap in Fortune 500 settings, showing measurable improvements in data accessibility, processing, and decision-making.

References :

[1] DAMA International, DAMA-DMBOK: Data Management Body of Knowledge, 2nd ed. Technics Publications, 2017.

[2] Zachman, J.A., "A framework for information systems architecture," IBM Systems Journal, vol. 26, no. 3, pp. 276-292, 1987.

[3] Radcliffe, J., “Enterprise Information Management: The Key to Enterprise Agility,” Gartner Research, 2010.

[4] The Open Group, TOGAF Version 9.1. Van Haren Publishing, 2011.

[5] Khatri, V., and Brown, C. V., "Designing data governance," Communications of the ACM, vol. 53, no. 1, pp. 148-152, 2010.

[6] Heudecker, N., and White, A., “Hype Cycle for Data Management,” Gartner Research, 2019.

Keywords :

Multi-Year Data Strategy, Data Architecture, Data Governance, Fortune 500, Roadmap, Data Transformation, Enterprise Data Management, Business Intelligence, Analytics.