Data-Driven Risk Visibility for Construction Lenders
Madhan kumar J1, Kranti Kumar Myneni2
1Madhan Kumar J, Department of Master’s in Building and Engineering Management, School of Planning and Architecture, Vijayawada (Andhra Pradesh), India. Email ID:
2Dr. Kranti Kumar Myneni, Department of Masters of Building and Engineering Management, School of Planning and Architecture, Vijayawada (Andhra Pradesh), India.
Manuscript received on 09 February 2026 | First Revised Manuscript received on 12 February 2026 | Second Revised Manuscript received on 02 March 2026 | Manuscript Accepted on 15 March 2026 | Manuscript published on 30 March 2026 | PP: 1-7 | Volume-12 Issue-7, March 2026 | Retrieval Number: 100.1/ijmh.G186312070326 | DOI: 10.35940/ijmh.G1863.12070326
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This research aims to create a structural base for institutional investors to effectively monitor investment risks associated with residential construction projects in India under RERA regulations. Under prevailing scenarios, institutional financing bodies periodically evaluate the associated risks of construction projects, often with the support of due diligence reports from consulting firms. To effectively address existing challenges, this research aims to develop a consolidation platform to implement recent advancements in global risk-monitoring standards, including Bayesian networks, system dynamics, earned value management, and value-based control systems, within a proposed integrated system comprising five layers. This proposed idea has been supported by a literature review, data analysis, and further validation of the findings using the Tamil Nadu RERA data portal for residential construction projects in Chennai, Tamil Nadu, India. This research is significant for stakeholders in India’s construction finance ecosystem and provides practical validation of the theoretical correctness of risk monitoring.
Keywords: Risk Monitoring, Bayesian Networks, Construction Finance, Rera, Dynamic Risk Assessment, Lending Governance, Project Lifecycle Monitoring, Data Integration, Decision-Support Systems.
Scope of the Article: Resource Management