QlikView Customer Snapshot –Bliss
公司规模
Mid-size Company
地区
- America
- Europe
国家
- United States
产品
- QlikView
技术栈
- QlikView Server
- SQL Server
- DB2
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 实时分析
适用行业
- 零售
适用功能
- 销售与市场营销
- 人力资源
用例
- 库存管理
服务
- 数据科学服务
关于客户
Bliss is a leading body and skincare retailer and spa services provider. Founded in New York in 1996, the company has expanded its operations worldwide with 15 spas. In addition to its spa services, Bliss also offers a line of beauty and skincare products. The company is headquartered in New York, NY and operates in the Retail & Wholesale Distribution and Services industry. Despite its global presence and diverse product line, Bliss was struggling with data management across its different business lines.
挑战
Bliss, a leading body and skincare retailer and spa services provider, was facing challenges with data reconciliation across its three disparate ERP systems. These systems were spread across three lines of business, making it difficult to maintain accuracy and speed in reporting. The company needed a solution that could improve these aspects and provide a more streamlined approach to data management.
解决方案
Bliss deployed QlikView to 35 users in the US and Europe to address its data management challenges. The solution provided real-time sales performance analysis across product lines, spa locations, and services. It also offered visibility into product sell-through, inbound and on-hand inventory. Additionally, QlikView helped Bliss maximize up-and cross-selling opportunities through customer spend analysis. The solution also provided financial analysis capabilities, enabling Bliss to measure revenue and profitability performance. HR analysis was another feature of the solution, which helped Bliss analyze staffing needs and reduce payroll expense by 30-40%. The implementation of QlikView was rapid, completed in just 6 weeks. Bliss leveraged QlikView Server to aggregate data from CommercialWare, SYSPRO, Book4Time, SQL Server, and DB2.
运营影响
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