International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 73 | Issue 7 | Year 2025 | Article Id. IJCTT-V73I7P103 | DOI : https://doi.org/10.14445/22312803/IJCTT-V73I7P103

Accelerating Microsoft Copilot Adoption: A Scalable, Trustworthy Data Architecture for Enterprise Insights

Senthil Kumar Gopalan

Received Revised Accepted Published
28 May 2025 20 Jun 2025 12 Jul 2025 27 Jul 2025

Citation :

Senthil Kumar Gopalan, "Accelerating Microsoft Copilot Adoption: A Scalable, Trustworthy Data Architecture for Enterprise Insights," International Journal of Computer Trends and Technology (IJCTT), vol. 73, no. 7, pp. 26-29, 2025. Crossref, https://doi.org/10.14445/22312803/IJCTT-V73I7P103

Abstract

Microsoft Copilot, an AI-powered productivity tool integrated into Microsoft 365, holds immense potential to transform enterprise workflows. However, its adoption has been slower than anticipated due to fragmented data sources, inconsistent metrics, and a lack of trust in analytical dashboards. This paper proposes a modular, scalable, and trustworthy data architecture leveraging Azure-native tools and Microsoft Graph to monitor and accelerate Copilot adoption. By integrating diverse data sources, applying advanced analytics, and delivering role-based insights, the architecture empowers organizations to drive strategic adoption. The proposed framework ensures data governance, scalability, and actionable insights, addressing key adoption barriers. Future enhancements include real-time analytics and generative AI for deeper user segmentation. 

Keywords

Microsoft Copilot, AI Adoption, Data Architecture, Azure, Microsoft 365, Data Governance, Power BI, Machine Learning. 

References

[1] Microsoft Graph API. [Online]. Available: https://docs.microsoft.com/en-us/graph/overview
[2] Azure Synapse Analytics. [Online]. Available: https://azure.microsoft.com/en-us/services/synapse-analytics/
[3] Azure Machine Learning. [Online]. Available: https://azure.microsoft.com/en-us/services/machine-learning/
[4] Medallion Architecture. [Online]. Available: https://learn.microsoft.com/en-us/azure/databricks/lakehouse/medallion
[5] Power BI. [Online]. Available: https://powerbi.microsoft.com/
[6] Microsoft Entra ID. [Online]. Available: https://www.microsoft.com/en-us/security/business/identity-access/microsoft-entra-id governance
[7] Microsoft Purview. [Online]. Available: https://www.microsoft.com/en-us/security/business/microsoft-purview#overview