Building SaaS solutions using microsoft azure for achieving safe and secure tax related software
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.2.45Keywords:
Agile Scrum Methodology, Sprint, Monorepo, MVC Architecture, auth.2.0, Code Flow, Proof Key for Code Exchange (PKCE).Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Several services offered by Microsoft Azure Cloud Platform are used for building, running and managing applications. These Services include Azure Active Directory (AD), Azure Virtual Machines (VMs), Azure App Services, Azure DevOps etc have been used to develop this system which can manage all real estate tax servicing needs. It significantly reduces servicing costs with the Tax Outsourcing platform. This system is a SaaS product that many customers request to maintain current tax status on loan portfolios to ensure taxes are paid on time. The contracted loans include tax identification numbers and parcel numbers, current year taxes, back taxes that are past due, information about tax redemption, etc.Abstract
How to Cite
Downloads
Similar Articles
- Ramesh Babu Durai C, D. Madhivadhani, A. Sumathi, Lily Saron Grace, Graph neural networks for modeling ecological networks and food webs , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Vibhoo Bajpai, Public policy as a nudger of cultural sustainability amidst rapid urbanization: A case of Delhi NCR , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- T. Kanimozhi, V. Rajeswari, R. Suguna, J. Nirmaladevi, P. Prema, B. Janani, R. Gomathi, RWHO: A hybrid of CNN architecture and optimization algorithm to predict basal cell carcinoma skin cancer in dermoscopic images , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Abhishek Dwivedi, Nikhat Raza Khan, Reconfiguration of Automated Manufacturing Systems Using Gated Graph Neural Networks , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Thangatharani T, M. Subalakshmi, Development of an adaptive machine learning framework for real-time anomaly detection in cybersecurity , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Santima Uchukanokkul, Bijal Zaveri, Global student mobility from Southeast Asia and South Asia: Trends, challenges, and policy interventions , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Hemamalini V., Victoria Priscilla C, Deep learning driven image steganalysis approach with the impact of dilation rate using DDS_SE-net on diverse datasets , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Neeraj, Anita Singhrova, A critical review of blockchain-based authentication techniques , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- Mohiyuddeen Hafzal, Management strategies for sustainable development goals: A roadmap to Viksit Bharat@2047 , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Deepika S, Jaisankar N, A novel approach to heart disease classification using echocardiogram videos with transfer learning architecture and MVCNN integration , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.
