La-Z-Boy Gets Comfortable with Data Thanks to Domo
Company Size
1,000+
Region
- America
Country
- United States
Product
- Domo
Tech Stack
- Data Analytics
- Business Intelligence
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Retail
Applicable Functions
- Logistics & Transportation
- Sales & Marketing
Use Cases
- Inventory Management
- Supply Chain Visibility
Services
- Data Science Services
About The Customer
La-Z-Boy is an international furniture manufacturer and retailer with over 10,000 employees and a revenue of $1.7 billion. The company offers more than 29 million variations of furniture and other products for sale around the world. The company has a wide range of departments including C-Suite, Finance, Accounting, IT, Strategy & Analytics, R&D, HR, Supply Chain, Logistics, Marketing, Merchandising, Retail, Retail Stores, Wholesale, Manufacturing Plants, Comfort Care, International, etc. The company is committed to becoming a data-driven organization and uses data to make informed decisions and build the brand.
The Challenge
La-Z-Boy, an international furniture manufacturer and retailer, had a challenge managing the data needs of the company due to its vast product variations. The company needed a solution that could raise the visibility of data throughout the organization while making it available for all. The company's CEO emphasized the importance of data-driven decision making, which further necessitated the need for a robust data management solution. The company needed a solution that could integrate data from various departments and provide real-time insights for effective decision making.
The Solution
La-Z-Boy implemented Domo, a business intelligence and data management solution, to manage its data needs. Domo was used to raise the visibility of data throughout the organization while making it available for all. Users across the company made use of alerts to be notified when data was updated or when thresholds were met that required action. More than 20 departments across La-Z-Boy used Domo to generate data-driven insights. For instance, their custom, mid-century modern furniture division Joybird used Domo to uncover an alarming increase in their average order to ship days and were able to improve their operational efficiency to reduce their average shipping time by 17 days. The Credit and Collections team used Domo to automatically combine data from four systems for a holistic view of its accounts, improving their ability to react to overdue invoices.
Operational Impact
Quantitative Benefit
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