Capital Spending According to a recent study conducted by Jacques Bughin, a director of the McKinsey Global Institute, nearly half of the 273 global telecommunications executives surveyed— representing about a quarter of the industry’s revenues—were considering investing in data used in decisioning and analytics tools, while 30% had already made them.
50%
Considering
30%
Already use
Use of data in decisioning and analytics
Predicted network usage
Bughin found that one of the companies had strategically employed analytics models to predict when network usage from video streaming were heaviest. It then managed to relieve the congestion, and reduced its planned capital expenditures by 15%.
15% capital
expenditures
Another company employed a machine-learning model that combined sociodemographic data, information from customer touchpoints such as call centers and social media, as well as network usage data. Based on the resulting reports, Bughin noted the firm was able to identify, in real-time, the customers most likely to defect or have trouble paying their bills, as well as to cut churn by 3%, and to improve payment recovery by 35%.
Use of customer touchpoints
3% 35%
churn
payment recovery
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