A major player in UK fibre networks needed a novel approach to planning a new rollout. The strict requirement to follow existing copper networks and routes across 5,500 exchanges meant that existing semi-manual methods would incur infeasible costs.
Satalia utilised their existing data set and stated constraints to model the problem. The Solve Engine’s suite of algorithms were then utilised to create a solution and multiple network map visualisations. Thousands of scenario combinations were tested and analysed to find the optimal solution.
potential reduction in equipment costs
seconds instead of 6 hours to run an exchange
what-if scenarios ran in time it took to plan one exchange using existing approach
55% more reliable bug identification
We identified errors in C and C++ programs faster and more accurately than the existing technology.Learn more
Mobile cells optimally placed
We placed mobile network infrastructure to maximise coverage whilst minimising equipment costs.Learn more
20% more efficient staff schedules
We reengineered staff rotas for a global entertainment group based on predicted footfall and employee preferences.Learn more
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