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Wayfair Embraces Self-Service BI with AtScale
技术
- 分析与建模 - 实时分析
- 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
- 电子商务
- 零售
适用功能
- 商业运营
- 销售与市场营销
用例
- 库存管理
- 质量预测分析
- 供应链可见性(SCV)
服务
- 云规划/设计/实施服务
- 数据科学服务
- 系统集成
挑战
Wayfair, a fast-growing ecommerce retailer, was facing challenges with its existing analytics infrastructure. The company was using Microsoft SQL Server Analysis Services (SSAS) for mission-critical analysis, but as the business grew, this solution was not scalable enough. Wayfair decided to modernize their analytics infrastructure and move to a cloud platform, specifically Google BigQuery. However, they needed to ensure that the transition didn't disrupt the hundreds of business analysts who relied on SSAS for their daily operations. The company also wanted to maintain a hybrid on-premises/cloud environment for a time to ensure business continuity.
关于客户
Wayfair is a fast-growing ecommerce retailer. The company uses data extensively to measure customer interest and chart the performance of their manufacturers. To operate their business successfully, they need to parse through data to predict the price and quantity of every SKU. Wayfair encourages all employees to interact with data and promotes a self-serve analytics culture. The company has hundreds of data modelers and business analysts who support the full range of Wayfair’s online businesses.
解决方案
To support their modernization, Wayfair chose AtScale. This solution provided a semantic layer that simplified and accelerated analytics, allowing the company to maintain OLAP analytics capability without the overhead and data movement required by SSAS. AtScale bridged Wayfair’s cloud data with business analysts who relied on high-performance dimensional analytics. This solution allowed Wayfair to maintain a single source of governed metrics that could be accessed with different BI tools, supporting the company's self-serve analytics culture.
运营影响
数量效益
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