Leading Russian retail chain benefits from interactive analysis of its financial and marketing data in QlikView
Customer Company Size
Large Corporate
Region
- Europe
Country
- Russia
Product
- QlikView
Tech Stack
- SAP
- Oracle 10
- SQL Server
- Access
- Excel
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Retail
Applicable Functions
- Sales & Marketing
- Logistics & Transportation
Use Cases
- Supply Chain Visibility
- Inventory Management
Services
- Data Science Services
- System Integration
About The Customer
Trade House Kopeyka is a leading national discount retailer in Russia. The retail chain includes over 600 stores in 196 cities and towns across 25 regions of the Russian Federation. It has more than 700 Russian and international suppliers and carries a mix of products, 90% of which are produced in Russia. In 2009, the retail chain's revenue was 57.5 Billion Rubles. The company employs over 10,000 people and is headquartered in Moscow. The company had been generating its analytical reports using data from several disconnected real-time systems for accounting, SAP, Gestori and others.
The Challenge
Trade House Kopeyka, a leading national discount retailer in Russia, was facing difficulties in generating analytical reports due to the use of several disconnected real-time systems for accounting, SAP, Gestori and others. The generation of complex reports was extremely slow, leading to untimely business decisions. The company was unable to consolidate information quickly and effectively without a robust Business Intelligence (BI) tool. The data from multiple source systems often did not match, leading to inconsistencies. From a technical perspective, Kopeyka needed to reduce the data load on the real-time systems and free them from processing analytical queries and report generation.
The Solution
Kopeyka chose QlikView as the BI platform and ATK Consulting Group as their solution supplier and implementation partner in the project. QlikView's in-memory technology and associative data model allowed for the storage and processing of information to be very easy. This was exactly what Kopeyka needed when dealing with large data volumes. In addition, with QlikView, Kopeyka managed to avoid having to create an intermediate data warehouse, which saved them time and money. ATK Consulting Group created a data model that met all of the requirements in the complex retailing structure, developed a methodology for defining Key Performance Indicators (KPIs), built a system that visualized KPIs from different analytical perspectives and provided a framework to verify the quality and accuracy of information coming from multiple source systems.
Operational Impact
Quantitative Benefit
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