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A Large Telecom Provider Saves 76,000 Hours Over Two Years With NLG
Technology Category
- Analytics & Modeling - Machine Learning
- Analytics & Modeling - Natural Language Processing (NLP)
Applicable Industries
- Telecommunications
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Digital Thread
Services
- Software Design & Engineering Services
- System Integration
The Challenge
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.
About The Customer
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.
The Solution
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.
Operational Impact
Quantitative Benefit
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