实例探究 > A Large Telecom Provider Saves 76,000 Hours Over Two Years With NLG

A Large Telecom Provider Saves 76,000 Hours Over Two Years With NLG

公司规模
1,000+
地区
  • America
国家
  • United States
产品
  • Quill
技术栈
  • Natural Language Generation (NLG)
  • Artificial Intelligence
实施规模
  • Enterprise-wide Deployment
影响指标
  • Cost Savings
  • Digital Expertise
  • Productivity Improvements
技术
  • 分析与建模 - 机器学习
  • 分析与建模 - 自然语言处理 (NLP)
适用行业
  • 电信
适用功能
  • 商业运营
  • 销售与市场营销
用例
  • 数字线程
服务
  • 软件设计与工程服务
  • 系统集成
关于客户
The customer is a large telecom provider with a significant presence in the telecommunications industry. The company is focused on delivering high-quality communication services to a broad customer base. With a large workforce and extensive operational processes, the company is constantly seeking ways to improve efficiency and reduce costs. The CFO, in particular, is keen on leveraging advanced technologies to streamline business processes and enhance overall productivity. The company has a history of adopting innovative solutions to stay competitive in the fast-paced telecom sector.
挑战
The CFO of a large telecom provider was looking for areas to automate business processes to cut costs and drive operational efficiencies. Reporting processes, in particular, were extremely time consuming and limiting to the growth of their business. They approached Narrative Science to better understand how Natural Language Generation (NLG) was being used by Financial functions to drive digital transformation.
解决方案
Narrative Science came on-site to lead a week-long value assessment workshop where they worked together to identify over 25 reporting processes that displayed the characteristics for high ROI opportunities with NLG. The two organizations built out a multi-year roadmap to deploy NLG applications across the Finance function and set specific project objectives that contributed to the broader transformation goals of the CFO. The 25 reports were targeted for the first year. Narrative Science's Quill software was used to automate these reporting processes, transforming data into easy-to-understand reports and stories. This automation allowed the telecom provider to generate reports at a much higher scale and consistency, ensuring that the same metrics and voice were used across the entire organization.
运营影响
  • Time Savings: The implementation of NLG resulted in an estimated 76,000 FTE hours saved over two years.
  • Scale: The number of reports generated increased by 10-15x, now targeted to specific stakeholder groups.
  • Consistency: Reporting on the same metrics and voice across the entire organization, ensuring uniformity and reliability in the data presented.
数量效益
  • 76,000 FTE hours saved over two years.

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