Qlik > 实例探究 > sahibinden.com Instantly Monitors Sales Performance with Qlikview

sahibinden.com Instantly Monitors Sales Performance with Qlikview

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公司规模
Mid-size Company
地区
  • Asia
国家
  • Turkey
产品
  • QlikView
技术栈
  • Microsoft SQL
  • Excel
实施规模
  • Enterprise-wide Deployment
影响指标
  • Productivity Improvements
  • Customer Satisfaction
技术
  • 分析与建模 - 实时分析
适用行业
  • 电子商务
  • 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)
  • 欺诈识别
服务
  • 数据科学服务
关于客户
sahibinden.com is a Turkey-based e-trade platform established in 2000. It is part of the Aksoy Group of companies. With 200 employees, the platform boasts 2 billion page views a month, 22 million individual visitors each month, 2.5 million active advertisements, and tens of thousands of products. The platform has grown rapidly, becoming the premier automotive and real estate website in Turkey since the end of 2011, as well as among the top five in Europe and top 20 worldwide. It provides services in important sectors such as trade, retail, real estate, and automotive.
挑战
sahibinden.com, Turkey’s largest e-trade platform, was facing challenges in managing high volume data and reducing the time taken for queries. The company needed a solution that could manage data control and calculations from a single centre and could be deployed quickly and cost-effectively. The company was looking for a business intelligence (BI) solution that could provide detailed analyses, such as visitors’ activities, options, and preferences, to make the website more efficient and profitable.
解决方案
sahibinden.com chose to implement QlikView, a business intelligence tool, to create an integrated BI system that could be used by everyone from the sales department to finance. The implementation of QlikView took just four weeks. The tool allowed the company to make advanced-level queries on high volume data, and base decisions on such analyses. QlikView was able to integrate the company's category tree structure with a single function, and analyse high volumes of data within seconds. The tool also allowed the company to construct instant queries at different category levels and with different customer metrics.
运营影响
  • Targeted situation reports were consolidated into a single system
  • Products could be queried instantaneously according to category and customer metrics
  • High-volume data analysis could be produced in seconds, not hours
  • Reporting was extended to fraud prevention

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