Case Studies Turning complex salary data into website traffic

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	Turning complex salary data into website traffic

Turning complex salary data into website traffic

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Natural Language Processing (NLP)
Applicable Industries	Professional Service Software
Applicable Functions	Business Operation Sales & Marketing
Services	Software Design & Engineering Services System Integration
Challenge	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. Read More
About Customer	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. Read More
Solution	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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Analytics & Modeling - Natural Language Processing (NLP)

Applicable Industries

Professional Service

Software

Applicable Functions

Business Operation

Sales & Marketing

Services

Software Design & Engineering Services

System Integration

Challenge

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.

About Customer

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.

Solution

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.

Impact #1	Enhanced brand awareness
Impact #2	Freed up employees to spend time on higher-value tasks
Impact #3	Engaged visitors with unique, relevant content

Impact #1

Enhanced brand awareness

Impact #2

Freed up employees to spend time on higher-value tasks

Impact #3

Engaged visitors with unique, relevant content

Benefit #1	Generated 55,000 stories per month

Benefit #1

Generated 55,000 stories per month

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Overview

Turning complex salary data into website traffic

Operational Impact

Quantitative Benefit