Daasity and Looker Furnish Big Wins for Snowe
Company Size
11-200
Region
- America
Country
- United States
Product
- Looker BI interface
- Daasity data-analytics platform
Tech Stack
- Excel
- Google Sheets
- MS Access
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Data-as-a-Service
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Retail
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Fraud Detection
- Supply Chain Visibility
Services
- Data Science Services
About The Customer
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.
The Challenge
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.
The Solution
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.
Operational Impact
Quantitative Benefit
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