Google Cloud Platform > 实例探究 > Casper Finds Their Dream Data Platform in Looker

Casper Finds Their Dream Data Platform in Looker

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公司规模
200-1,000
地区
  • America
  • Europe
国家
  • Austria
  • Germany
  • Switzerland
  • United Kingdom
  • United States
产品
  • Looker
  • AWS
  • Redshift
  • Stitch
技术栈
  • Data Warehousing
  • Data Visualization
  • Real-time Data Processing
实施规模
  • Enterprise-wide Deployment
影响指标
  • Customer Satisfaction
  • Productivity Improvements
技术
  • 分析与建模 - 实时分析
  • 平台即服务 (PaaS) - 数据管理平台
适用行业
  • 零售
适用功能
  • 商业运营
  • 销售与市场营销
用例
  • 库存管理
  • 供应链可见性(SCV)
服务
  • 云规划/设计/实施服务
  • 数据科学服务
关于客户
Casper is a company that set out to disrupt the stale mattress industry with one product and a mission in April 2014. Since then, Casper has expanded their product line to include pillows, sheets, a perfect foundation — and even a dog mattress. Casper products are now available in the UK, Germany, Austria and Switzerland, and you can try them out in person at West Elm stores or in flagship showrooms in New York, Los Angeles, and London.
挑战
Casper, a small industry disruptor in the mattress industry, was facing a challenge with scattered and siloed data across files. The underlying technology was not efficient or scalable, and Casper needed a tool to take them to the next level. The business user front end was also impacting company decision making. Analysis was siloed in files and people couldn’t do much more with it other than look at the data. Querying across sources was a huge task and no one place held all the information. It was everywhere.
解决方案
Casper implemented Looker and AWS to centralize and share data company wide for unforeseen insights and unexpected growth. Redshift became the central warehouse for all of Casper’s data, which helped them to seamlessly join previously siloed datasets. They used Stitch to load their Postgres databases into their data warehouse in real time. Within 30-minute refresh cycles, their data was always available in Redshift, and ultimately in Looker. This allowed them to quickly pick tables to include, then pick fields from those tables. They could turn them on, turn them off, and set the cycle increment they’d like to refresh that data on.
运营影响
  • Efficient data modeling with Looker providing an easy-to-manage source of truth.
  • More people using the data in Looker, with a central location where everyone has access to all the existing analysis that has been produced for the business.
  • Supply chain team able to ensure fast delivery of all products due to being very data-driven.
数量效益
  • Data available in real time with 30-minute refresh cycles.
  • Data made available company-wide.

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