Monitoring the utility consumption of the buildings is now done at the building level and data entry is consolidated manually using excel spreadsheet for monthly analysis by the Engineering team. The current method is both prone to data entry errors and only allows analysis once a month when the data are consolidated for analysis. A solution that allows capturing of data, to consolidation and use of data analytics to carry out trend, benchmarking by type and occupancy of building and preventive modelling of future utility consumption is desirable.
To propose an end-to-end utility management system, with data analytics capabilities, and could study trends, carry out benchmark, and predict the consumption patterns for forward purchase of utility, based on occupancy of buildings.
Solution should be mobile friendly and scalable as new services could added