Tommy Hilfiger Simplifies Data Analysis and Cuts Reporting Time with QlikView
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
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.
