Providing reliable network connection and services to customers is crucial to telecom companies' success. Faulty connection is very costly for the firms. Thus, great value in the form of cost reduction can come from identifying the factors that drive the fault rates of telephone lines.
The historical fault records provide insight of the potential factors that drive the fault rate of connections. By mining through the big data, factors are identified and their impact on the connection fault rate is understood. We then put preventive measures into place to reduce the fault rate. Forecasting on fault rates and their general location is made. The workload can be better planned accordingly; the resources and workforce can be appropriately allocated.