Foundational architecture ideas
Exploring technology-agnostic principles for agility, governance, interoperability and future-ready analytics.
Bridging foundational ideas and enterprise architecture thinking with practical impact in data, analytics and digital transformation.
Exploring technology-agnostic principles for agility, governance, interoperability and future-ready analytics.
Designing governed and agile Enterprise Analytical Environments to tame data swamps and deliver trusted insights.
Publishing articles and conference work that advance enterprise analytics and architecture.
Applying research in real-world initiatives to drive measurable business value and continuous improvement.
Journal articles, conference work and a preprint are presented together in a single chronological sequence.
Over the past three decades, SAP's analytics landscape has evolved through successive architectural transformations, each addressing specific scalability, performance, and business agility challenges. This study presents a structured review of that evolution, beginning with the early enterprise resource planning (ERP)-embedded reporting tools such as the Logistics Information System…
The rise of AI, analytics, and cloud-based SaaS models has reshaped enterprise data landscapes, driving a surge in demand for Data Warehouse-as-a-Service (DWaaS) solutions. This paper provides a comprehensive framework for organizations navigating the transition to DWaaS, with a focus on scenarios where ERP systems, particularly Oracle Fusion…
The rapid evolution of enterprise IT infrastructure has exposed critical challenges in managing data complexity, particularly the proliferation of ungoverned “data swamps” that undermine scalability and interoperability. This paper proposes Agnostic Informational Architecture (AIA)—a technology-agnostic framework emphasizing interoperability, governance, and adaptability—and its practical implementation through the Enterprise Analytical…
This article explores the critical drivers of the agnostic Enterprise Analytical Environment that should shape the environment, proposes a structure of the Enterprise Analytical Environment, and details the specific implementation nuances for SAP Datasphere. This comprehensive approach ensures a well-governed yet adaptable analytical environment.
LET’S CONNECT
For professional inquiries, architecture discussions and collaboration opportunities.