Qlik > 实例探究 > Qlik helps boost store operational performance

Qlik helps boost store operational performance

公司规模

Large Corporate

地区

America

国家

United States

产品

Qlik Data Integration
Qlik Sense SaaS
Snowflake cloud

技术栈

Cloud Computing
Data Integration
Data Analytics

实施规模

Enterprise-wide Deployment

影响指标

Productivity Improvements
Digital Expertise
Innovation Output

技术

基础设施即服务 (IaaS) - 云计算
平台即服务 (PaaS) - 数据管理平台
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
零售店自动化

服务

云规划/设计/实施服务
数据科学服务

关于客户

Urban Outfitters is a lifestyle retailer that was founded in 1970 and is headquartered in Philadelphia. The company sells women’s and men’s clothing and accessories, a range of items for interior furnishing and décor, and a music and technology collection. With 550 stores in the USA and 100 across Europe and the UK, the company has a significant presence in the retail industry. However, the company was facing challenges in gaining daily visibility of actionable data due to the siloed nature of its data across different systems and technologies. This problem was further complicated by different time zones and the varying operating styles of the three business brands.

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挑战

Urban Outfitters, a lifestyle retailer with 650 stores across the USA, Europe, and the UK, was struggling with siloed data across different systems and technologies. This made it difficult to gain daily visibility of actionable data, a problem further complicated by different time zones and the varying operating styles of the three business brands. The Covid-19 pandemic added another layer of complexity as the company had to manage store closures and differing pandemic strategies. The company's biggest roadblock was the inability to easily explore information to gain the necessary insights, resulting in reports that had to be manually compiled, consuming a significant amount of administrative time.

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解决方案

To overcome these challenges, Urban Outfitters decided to consolidate its data and migrate to the cloud. The company implemented Qlik Data Integration to stream data into a Snowflake cloud and Qlik Sense SaaS for data analysis. This created an Active Intelligence environment with a connected end-to-end data pipeline that enables users to find data, understand it, and quickly act on it. The use of real-time data supports 'in the moment' decision making and rapid action when business challenges arise. More than 240 Qlik apps are now in production, providing insights over not only store performance but also e-commerce sales, operations, distribution centers, and supply chain logistics. The company can now easily scale access to near real-time analytics, making it easier to set up new stores and connect them from anywhere around the globe.

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运营影响

Data now resides in one cloud-based repository where it is easily accessible to all.
Highly visual dashboards are quick to create and easy to understand, replacing complex multi-column reports.
Rapid real-time data access boosts store performance by giving staff the information they need when they need it.
The democratization of data creates a more inclusive environment for store staff who can make quick decisions, see current challenges, plan for the future, and appreciate the impact their work has on the wider picture.
The ease with which Qlik dashboards can be created was of great benefit during the pandemic. As stores became pack-and-ship fulfillment centers for direct business during Covid-19 lockdowns, a Qlik dashboard was quickly created to give management a measure of store and brand performance.

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数量效益

Data streaming to the cloud is now down to less than five minutes for distribution centers and tops out at 15 minutes for the order management system (OMS).
One routine report that used to take a store manager two hours a week is now instantly available.

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