Customer Company Size
Large Corporate
Region
- Europe
Country
- Sweden
Product
- QlikView
- Movex ERP system
Tech Stack
- QlikView Server (64-bit)
- Excel
Implementation Scale
- Departmental Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Electronics
Applicable Functions
- Sales & Marketing
- Procurement
Use Cases
- Predictive Quality Analytics
- Supply Chain Visibility
Services
- System Integration
- Software Design & Engineering Services
About The Customer
Kanthal is a part of Sandvik Materials Technology, a subsidiary of the Swedish industrial giant, Sandvik Group. The company is a leading producer of heating wire for consumer products and complete heating systems for industrial applications. The company was established in the early 20th century after the discovery of the Kanthal alloy and its ideal properties for electrical heating elements. Kanthal is headquartered in Hallstahammar, Sweden. The company has achieved approximately $300 million in revenue with a workforce of 1,400 employees. The company operates in the Mill Products industry.
The Challenge
Kanthal, a leading producer of heating wire for consumer products and complete heating systems for industrial applications, was facing several challenges. The company wanted to increase control and improve accountability within the sales process. They also aimed to simplify and improve the efficiency of data gathering and report generation. Another challenge was to reduce their reliance on outside vendors for system manipulation. These challenges were hindering the company's growth and efficiency, and they needed a solution that could address these issues effectively.
The Solution
To address the challenges, Kanthal deployed QlikView to 40 users across four functions in Sweden. These functions included Sales Analysis, Supply Chain Analysis, Operational Analysis, and Financial Analysis. The Sales Analysis function was used to analyze product quantities, margins, orders, and invoicing by country. The Supply Chain Analysis function was used to monitor delivery reliability. The Operational Analysis function was used to track production lead times. The Financial Analysis function was used to assess pricing strategies. The implementation of QlikView was rapid, with the first application being implemented in less than a week. The company leveraged QlikView Server (64-bit) to aggregate data from the Movex ERP system and Excel.
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
Remote Temperature Monitoring of Perishable Goods Saves Money
RMONI was facing temperature monitoring challenges in a cold chain business. A cold chain must be established and maintained to ensure goods have been properly refrigerated during every step of the process, making temperature monitoring a critical business function. Manual registration practice can be very costly, labor intensive and prone to mistakes.
Case Study
Cloud Solution for Energy Management Platform-Schneider Electric
Schneider Electric required a cloud solution for its energy management platform to manage high computational operations, which were essential for catering to client requirements. As the business involves storage and analysis of huge amounts of data, the company also needed a convenient and scalable storage solution to facilitate operations efficiently.
Case Study
Leveraging the IoT to Gain a Competitive Edge in International Competition
Many large manufacturers in and outside Japan are competing for larger market share in the same space, expecting a growing demand for projectors in the areas of entertainment, which requires glamor and strong visual performance as well as digital signage that can attract people’s attention. “It is becoming more and more difficult to differentiate ourselves with stand-alone hardware products,” says Kazuyuki Kitagawa, Director of Service & Support at Panasonic AVC Networks. “In order for Panasonic to grow market share and overall business, it is essential for us to develop solutions that deliver significant added value.” Panasonic believes projection failure and quality deterioration should never happen. This is what and has driven them to make their projectors IoT-enabled. More specifically, Panasonic has developed a system that collects data from projectors, visualizes detailed operational statuses, and predicts issues and address them before failure occurs. Their projectors are embedded with a variety of sensors that measure power supply, voltage, video input/ output signals, intake/exhaust air temperatures, cooling fan operations, and light bulb operating time. These sensors have been used to make the projector more intelligent, automatically suspending operation when the temperature rises excessively, and automatically switching light bulbs. Although this was a great first step, Panasonic projectors were still not equipped with any capability to send the data over a network.