Nigeria’s electricity supply industry has undergone reforms, including the inclusion of Distributed Renewable Energy Resources and a multi-year tariff order mandating distribution company to source 10% of their national grid allocation from embedded generation and renewable energy sources. This has led to the development of interconnected mini-grids, but developers struggle to optimize their design and operations due to insufficient data. This research proposes a data-driven asset mapping using a Geographical Information System (GIS) model for optimal location of assets. Field asset mapping exercise was conducted on feeder network of a distribution company in North Central Nigeria to provide visibility over all the distribution assets. Enumerated and tagged assets includes 29 Distribution Transformers (DTs), 246 poles on the 33 kV network line, 278 poles on the 11 kV network, and 1255 poles on the 0.415 kV Low Tension (LT) reticulation as well as the route lengths, coverage areas, and the conditions of the poles. It also showed the DT coverage areas with Botman having the highest area coverage of 3.06 km and School of Health DT with the lowest coverage area of 110 m. The paper recommends adopting this approach in all asset acquisition and transfer within the energy sector for sustainable and optimized mini-grid operations because it guarantees data-driven operations in line with the governments requirements for infrastructural development.