Turning complex salary data into website traffic
公司规模
1,000+
地区
- America
国家
- United States
产品
- Quill
技术栈
- Advanced NLG
- Big Data Technologies
- Crowdsourcing
实施规模
- Enterprise-wide Deployment
影响指标
- Brand Awareness
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 大数据分析
- 分析与建模 - 自然语言处理 (NLP)
适用行业
- Professional Service
- Software
适用功能
- 商业运营
- 销售与市场营销
服务
- 软件设计与工程服务
- 系统集成
关于客户
A leading human capital services company utilizes survey data and market-enabled compensation models to provide massive amounts of salary information to the public. Using crowdsourcing and big data technologies, the company has compiled and analyzed the world’s largest database of millions of individual salary profiles to offer employees and employers a transparent view of compensation.
挑战
Translating enormous amounts of survey and market data into dynamic compensation profiles is a challenging feat. Instead of solely presenting this data in charts and graphs, the company realized it needed to convey the information in an engaging, SEO-friendly way in order to drive site traffic and conversations. It needed narratives.
解决方案
The team partnered with Narrative Science and leveraged its Advanced NLG platform, Quill, to automatically transform survey data into narrative content. These narratives highlight what visitors find most interesting and important, such as how different employers pay. As visitors can filter the content by parameters such as region, employer and qualifications, the narratives are unique and customized to each individual. Quill provided a level of scale that was simply not possible before. The site’s compensation profiles are constantly refreshed and updated as underlying data changes. As more users contribute to the database, the narratives become increasingly rich and dynamic. In addition, employees can now focus on higher-value activities, like acquiring more visitors to submit information instead of manually writing the profiles.
运营影响
数量效益
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