Simply Hired relies on Looker for the analytics that drive customer value— and its own exponential growth
Company Size
1,000+
Region
- America
Country
- United States
Product
- Looker
- Amazon Redshift
- Amazon Web Services
Tech Stack
- SQL
- MySQL
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Innovation Output
- Productivity Improvements
- Revenue Growth
Technology Category
- Analytics & Modeling - Big Data Analytics
- Infrastructure as a Service (IaaS) - Cloud Computing
- Infrastructure as a Service (IaaS) - Cloud Databases
Applicable Industries
- Software
Applicable Functions
- Business Operation
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
About The Customer
Simply Hired operates one of the world's largest online job search engines, interacting with more than 3.6 billion unique visitors a month. The company has sites in 24 countries and 12 languages, reaching candidates for more than 8 million jobs through the web, social networks, mobile devices, and thousands of partner sites—including LinkedIn, Bloomberg Businessweek, The Washington Post, and other leading online publishing brands. Unlike traditional listing sites, Simply Hired uses a pay-for-performance search model, which lets employers find high-quality candidates at an exceptionally low cost-per-job-application and cost-per-hire.
The Challenge
Simply Hired, one of the world's largest online job search engines, manages a significant amount of data to operate its search engine. The company captures user-generated data from every transaction, resulting in a massive amount of data that both business and technical staff want to analyze continuously. They rely on this data to improve search algorithms, optimize website and other channel interfaces, link cost-per-click and sponsored listing costs to market-driven auction rates, and strengthen online campaigns through regular A/B testing. Data analysis is also essential to predicting trends and identifying new business opportunities. Before Looker, Simply Hired engineers handled analytics by pre-aggregating data from multiple data sources and importing it into MySQL. Users couldn't see the connections between different data sets or understand what was going on at a high level in the business. Only people who knew how to write SQL could write queries, blocking an entire population of business users from direct data access.
The Solution
In 2012, Simply Hired modernized its data architecture and installed Looker to offer dynamic, personalized data views to a wide range of employees. For the first time, Looker put the power of real-time data in the hands of business users, who could create their own custom reports without knowing SQL and instantly drill down to uncover additional levels of detail. As Simply Hired's datasets continued to expand, the company migrated the data to Amazon Redshift. Looker analysts worked closely with Simply Hired throughout the conversion process, ensuring that Looker was configured to access the full power of the fast new data architecture to produce even more valuable insights. Now more than 80% of company employees in this rapidly growing business use Looker for everything from routine reports to deep data analysis.
Operational Impact
Quantitative Benefit
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