Shoppers Stop Speeds Up Data Analysis with QlikView Business Discovery Software
公司规模
Large Corporate
地区
- Asia
国家
- India
产品
- QlikView business discovery software
技术栈
- Netezza
- Microsoft Excel
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Digital Expertise
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
- 商业运营
用例
- 供应链可见性(SCV)
- 库存管理
服务
- 数据科学服务
关于客户
Shoppers Stop is a leading Indian retail department store founded in Mumbai in 1991. The company has more than 6,500 employees across 67 stores and generates revenues in excess of US$413 million. Shoppers Stop offers leading international and national brands in men’s and women’s clothing, accessories, footwear, and home furnishing products to customers across India. These are complemented by cafe, food, entertainment, personal care, and various beauty-related services. In addition to its physical stores across India, Shopper Stop has been running a successful online shop since 2008.
挑战
Shoppers Stop, a leading Indian retail department store, was facing challenges with its data analysis process. The company had been using traditional BI tools and Microsoft Excel for internal reporting, but the process was both limited and time-consuming. The team was seeking a new business discovery solution to improve its data analysis with the long-term goal of streamlining business operations and ultimately increasing sales. The company wanted to enable a 'self-service' data analysis model and increase the efficiency of data analysis.
解决方案
Shoppers Stop decided to deploy QlikView business discovery software across the buying & merchandising teams. The software was rolled out in a period of less than two months. The QlikView solution offered a high level of flexibility, ensuring the right teams access the right information, supporting a more productive environment. The solution also enabled a 'self-service' model of data analysis at Shoppers Stop, allowing users to select data points dynamically. The company is also planning to extend the solution to its mid-level management users in the field via mobile devices such as Apple iPads.
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