Latvian municipalities are increasingly utilising spatial data to execute their autonomous functions. However, effective data management and availability across various departments still need to improve the complete realisation of integrated geospatial information framework (IGIF) benefits. This paper aims to evaluate the potential of IGIF and spatial data infrastructure (SDI) to enhance the implementation of autonomous functions of Latvia's local governments (municipalities) and provide tools to support decision-making processes. Thus we address the main research question, may municipalities use available geospatial information to execute all their functions and capture positive synergies? The study employed a qualitative approach, including semi-structured interviews with municipal representatives responsible for spatial data usage and management. An analysis of regulations was conducted to identify municipalities' autonomous functions, their legal contexts, and associated spatial data requirements. Based on relevant to study documents, open data resources, and expert consultations, spatial data were structured and grouped to support decision-making processes. An assessment matrix was developed to assess the potential use of available spatial data across all twenty-two legally determined autonomous functions. The study revealed that, although municipalities recognise the benefits of IGIF and spatial data, there needs to be a unified approach to SDI for data management and use, avoiding data duplication and inconsistencies. The legal framework primarily focuses on spatial data related to the environment, spatial planning, land use, and development. Social, economic, and spatial data availability is not directly regulated. They are often created only on-demand or for specific needs, limiting their broader availability for supporting other functions. Technological limitations and resource constraints further impede the effective use of spatial data. While the implementation of IGIF is feasible and could significantly improve the quality and efficiency of services and promote sustainable development, its success depends on first strengthening the SDI through a systems approach that prioritises data interoperability, capacity-building, and strategic investments in technology and knowledge sharing.