Google Cloud Platform > 实例探究 > Simply Hired relies on Looker for the analytics that drive customer value— and its own exponential growth

Simply Hired relies on Looker for the analytics that drive customer value— and its own exponential growth

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公司规模
1,000+
地区
  • America
国家
  • United States
产品
  • Looker
  • Amazon Redshift
  • Amazon Web Services
技术栈
  • SQL
  • MySQL
实施规模
  • Enterprise-wide Deployment
影响指标
  • Innovation Output
  • Productivity Improvements
  • Revenue Growth
技术
  • 分析与建模 - 大数据分析
  • 基础设施即服务 (IaaS) - 云计算
  • 基础设施即服务 (IaaS) - 云数据库
适用行业
  • Software
适用功能
  • 商业运营
服务
  • 云规划/设计/实施服务
  • 数据科学服务
关于客户
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.
挑战
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.
解决方案
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.
运营影响
  • Created a data-driven culture with a focus on the metrics that matter. Data analysts use Looker to quickly create dashboards and other dynamic reporting tools that focus on the criteria that drive customer value.
  • Leveraged the work of a small number of analysts to move the business to a new level. Because Looker makes it easy for routine data requests to be handled largely on a self-service basis, limited analyst resources can focus instead on using the deep power and flexibility of Looker to unearth game-changing trends and drive innovation in the company.
  • Generated new business opportunities based on sophisticated data mining. Because the Simply Hired database is one of the most comprehensive sources of job and employment information in the world, the company has identified new business opportunities that take advantage of this resource.
数量效益
  • 40% growth in revenue over the six-month transition period.
  • More than 80% of company employees now use Looker for everything from routine reports to deep data analysis.

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