Qlik Case Studies Leading Russian retail chain benefits from interactive analysis of its financial and marketing data in QlikView

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	Leading Russian retail chain benefits from interactive analysis of its financial and marketing data in QlikView Qlik

Leading Russian retail chain benefits from interactive analysis of its financial and marketing data in QlikView

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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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	More efficient use of disparate data
Impact #2	Enabled detailed information analysis
Impact #3	Faster reaction to new trends and patterns in consumer behavior

Impact #1

More efficient use of disparate data

Impact #2

Enabled detailed information analysis

Impact #3

Faster reaction to new trends and patterns in consumer behavior

Benefit #1	65-70% faster report generation
Benefit #2	Decreased the time of response to an information query by 98.6%

Benefit #1

65-70% faster report generation

Benefit #2

Decreased the time of response to an information query by 98.6%

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Overview

Leading Russian retail chain benefits from interactive analysis of its financial and marketing data in QlikView

Operational Impact

Quantitative Benefit