Qlik > Case Studies > Tommy Hilfiger Simplifies Data Analysis and Cuts Reporting Time with QlikView

Tommy Hilfiger Simplifies Data Analysis and Cuts Reporting Time with QlikView

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Customer Company Size
Large Corporate
Region
  • Europe
Product
  • QlikView
  • SAP
  • Oracle
Tech Stack
  • Cloud-based Infrastructure-as-a-Service
  • Business Intelligence
  • Data Analysis
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Productivity Improvements
  • Cost Savings
Technology Category
  • Platform as a Service (PaaS) - Data Management Platforms
  • Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
  • Retail
Applicable Functions
  • Sales & Marketing
  • Logistics & Transportation
Use Cases
  • Supply Chain Visibility
  • Inventory Management
Services
  • Cloud Planning, Design & Implementation Services
  • Data Science Services
About The Customer
Tommy Hilfiger is an international manufacturer of sports, business, and day-to-day clothes, footwear, accessories, and perfume. American designer Tommy Hilfiger founded the company in 1985, and today it has a network of representative offices, more than 5,000 employees, and revenue of around US$2 billion. Its head office is in Amsterdam. The Tommy Hilfiger brand is represented in Russia by 12 different partners—TMHF Group, Tulon, UNIRET, Club Denim, Forus Fashion Group, Jeans Symphony, Galereya Mody, Forward 23, Golfstream, Frolov, Boutique.ru, and Butik.ru. Some of the biggest stores are in Moscow, Saint Petersburg, and Krasnoyarsk. The representative office in Moscow supervises all operations in Russia.
The Challenge
Tommy Hilfiger's head office databases are periodically updated with data that’s necessary for the work of all group companies and partners. The Russian representative office receives these updates in the form of Excel files from the head office. Head office uses the Oracle and SAP software, and the Russian partners use several different configurations of 1С:Enteprise business management software and other vendor systems. Another challenge was the timely receipt of sales reports from the Russian partners. The supervision system requires partners to provide weekly sales reports to the Moscow office and each of the 12 partner companies keeps daily accounting of sales in spreadsheets or in various accounting systems. At the end of each week, the data is emailed to Moscow, where it is manually consolidated into a report. As the data gathering and consolidation process was lengthy, the Moscow office would often experience delays in receiving information. Moreover, all reports consisted of ‘raw’ figures, which had to be processed and analyzed for a long time before any decision could be made.
The Solution
Tommy Hilfiger deployed the QlikView application to automatically integrate data from the partners and gained powerful tools for sales and stock analysis. The solution selection was complex because there were many factors to which the business intelligence (BI) system had to conform. The analytical system had to solve all tasks, be user-friendly, and offer value for money. QlikView emerged as the best choice for the business. It received the maximum rating in all the assessment criteria and ensured fast implementation of the project. QlikTech partner First BIT was contracted for project management and deployment. At the beginning of the project, the First BIT team made the Moscow office independent from the head office infrastructure in Amsterdam. The firm could see how cloudbased infrastructure-as-a-service software, enabling instant data exchange in real time, was an excellent choice for Tommy Hilfiger. A major advantage of this option is that no special equipment is needed—all that’s required is an internet connection. In addition, the cloud-based service offers data security and round-the-clock service availability.
Operational Impact
  • Retail analytical reports
  • Automated communication of data between the partners’ systems and the ERP-system of the head office
  • Anytime and anywhere data access and tough control
  • Increased security and improved accuracy of data
Quantitative Benefit
  • Reduced the expense and time involved in the manual consolidation of accounting data

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