sahibinden.com Instantly Monitors Sales Performance with Qlikview
Company Size
200-1,000
Region
- Asia
Country
- Turkey
Product
- QlikView
Tech Stack
- Microsoft SQL
- Excel
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- E-Commerce
- Retail
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Fraud Detection
- Supply Chain Visibility
Services
- Data Science Services
About The Customer
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.
The Challenge
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.
The Solution
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.
Operational Impact
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