Balanced Risk/Reward
Company Size
1,000+
Region
- America
- Asia
Country
- Japan
- United States
Product
- Qlik platform
Tech Stack
- Geo-analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Automotive
Applicable Functions
- Logistics & Transportation
- Procurement
Use Cases
- Predictive Replenishment
- Supply Chain Visibility
Services
- Data Science Services
About The Customer
BorgWarner is a global product leader in clean and efficient technology solutions for combustion, hybrid and electric vehicles. They operate manufacturing and technical facilities in 67 locations in 19 countries. The company is made up of multiple businesses with diversified specialties in powertrain products. They were previously using a manual, spreadsheet-based approach to produce reports on total spend, supplier performance, and supply chain risk.
The Challenge
BorgWarner, a global automotive components and parts supplier, was previously using a manual, spreadsheet-based approach to produce reports on total spend, supplier performance, and supply chain risk. This process was time-consuming, taking days to prepare for each supplier. The company faced a significant challenge in 2011 when Japanese suppliers were affected by a tsunami. BorgWarner struggled to determine the impact on their supply chain, products, and customer orders.
The Solution
BorgWarner implemented the Qlik platform and its geo-analytics capabilities to create interactive dashboards on supplier spend, performance/quality, and risk. This new approach significantly improved their ability to ask questions, conduct what-ifs, and understand supply-chain implications. Now, BorgWarner has global visibility into their major suppliers and the supply-chain risk. Using geo-analytics or Qlik search, they can immediately determine what parts and customer products would be at risk given global events. In addition, the dashboards help better understand supplier performance and quality.
Operational Impact
Quantitative Benefit
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