Wayfair Embraces Self-Service BI with AtScale
Company Size
1,000+
Region
- America
Country
- United States
Product
- AtScale
- Google Big Query
- Microsoft SQL Server Analysis Services (SSAS)
- Looker
- Tableau
- Excel
Tech Stack
- Cloud Computing
- Data Warehousing
- OLAP
- Business Intelligence
- Data Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
- Infrastructure as a Service (IaaS) - Cloud Computing
- Infrastructure as a Service (IaaS) - Cloud Databases
Applicable Industries
- E-Commerce
- Retail
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Inventory Management
- Predictive Quality Analytics
- Supply Chain Visibility
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
- System Integration
About The Customer
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.
The Challenge
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.
The Solution
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.
Operational Impact
Quantitative Benefit
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