This paper examines the scope of legal compliance for non-financial reporting in India, with a focus on the increasing mandate of Business Responsibility and Sustainability Reporting (BR-SR) and Corporate Social Responsibility (CSR) frameworks. It highlights how public interest, regulatory evolution, and global sustainability norms have shaped India’s approach to non-financial disclosures. The analysis underscores the critical role of geographic information in operationalising ESG objectives, offering insights into how businesses can leverage geospatial data to create competitive advantages, improve resilience in localities while meeting regulatory requirements. The paper identifies opportunities for better alignment between operations and disclosure practices and stresses the importance of timely investment in geospatial technologies to transition to a sustainable and resilient economy.

Virtual street audits are increasingly used by social service providers, community leaders and social workers to support place-based decisions in urban settings. Analytical tools can potentially augment decision making by making relevant information accessible in context to place-based interventions aimed at improving community wellbeing. I investigated if it was possible to discover a quantitative stochastic model that can be a reasonable fit with empirical data about the relationship between physical urban locations and the volumes of public services supplied to those locations. I analysed the dataset of San Jose’s Police Department call centre data spanning 10 years. I found that the Borel-Tanner distribution is a reasonable fit in 7 out of 10 trials conducted in this study. Relatively few urban sites were attributed to a large proportion of service volumes.  There was  high spatial concentration within ‘high needs’ sites. A significant proportion of these sites persist over the 10 year period.  I plotted these sites on a map to demonstrate their applicability to virtual audit applications.