Google Cloud Platform > 实例探究 > Daasity and Looker Furnish Big Wins for Snowe

Daasity and Looker Furnish Big Wins for Snowe

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公司规模
11-200
地区
  • America
国家
  • United States
产品
  • Looker BI interface
  • Daasity data-analytics platform
技术栈
  • Excel
  • Google Sheets
  • MS Access
实施规模
  • Enterprise-wide Deployment
影响指标
  • Cost Savings
  • Productivity Improvements
技术
  • 分析与建模 - 数据即服务
  • 分析与建模 - 实时分析
适用行业
  • 零售
适用功能
  • 商业运营
  • 销售与市场营销
用例
  • 欺诈识别
  • 供应链可见性(SCV)
服务
  • 数据科学服务
关于客户
Snowe is a home goods retailer that was founded in 2015. The company believes that high-quality home goods should not cost a fortune and offers products like Italian-made linens and porcelain dinnerware from Portugal. By 2019, Snowe had grown significantly in popularity, and its staff had increased by 50%. The company was facing challenges with managing an overwhelming amount of data from disconnected sources and too many tools. They were using manual data-reporting mechanisms that could not scale with the company’s growing needs.
挑战
Snowe, a home goods retailer, was facing challenges with managing an overwhelming amount of data from disconnected sources and too many tools. The company was using Excel, Google Sheets, and MS Access for data reporting, but these manual mechanisms could not scale with the company’s growing needs. The team was bogged down with laborious, time-intensive processes. Other solutions on the market were either too expensive or required advanced SQL knowledge. Snowe needed a cross-functional platform that could extract meaningful insights from their data while providing companywide utility and transparency, without breaking the bank.
解决方案
Snowe turned to Looker and Daasity for a solution. Looker's BI interface and Daasity's data-analytics platform were identified as the perfect fit for Snowe. The teams at Daasity and Looker worked together to synthesize the unique blend of looks and integrations needed. Within weeks, the data landscape at Snowe had changed significantly. The team now had a solution to manage their data with powerful functionality that allowed them to drill into the details without needing a data scientist. The solution also saved them a significant amount of time by providing a single source of truth the entire company could leverage.
运营影响
  • Snowe's staff is saving more than 15 man hours per week, totaling nearly 750 for the entire year.
  • The team is now able to focus on strategy vs. manually derived analytics, spending time on key business drivers like overall company health and cash flow.
  • The solution provided global views of company performance and helped solve acute challenges like credit-card fraud during Black Friday Cyber Monday and optimizing shipping costs.
数量效益
  • Saved approximately $10,000 in credit-card fraud during Black Friday Cyber Monday.
  • Increased profit by 30% through shipping optimization.

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