Qlik Case Studies Balanced Risk/Reward

Edit This Case Study Record

	Balanced Risk/Reward Qlik

Balanced Risk/Reward

Qlik

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

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

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.

About 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.

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.

Impact #1	Went from days to produce supplier reports for one supplier to seconds for any number of suppliers, and at the same time with far greater level of details.
Impact #2	Hugely improvement in ability to manage supply chain risk and planning.

Impact #1

Went from days to produce supplier reports for one supplier to seconds for any number of suppliers, and at the same time with far greater level of details.

Impact #2

Hugely improvement in ability to manage supply chain risk and planning.

Benefit #1	Identified over $8 million in savings.

Benefit #1

Identified over $8 million in savings.

Download PDF Version

Overview

Balanced Risk/Reward

Operational Impact

Quantitative Benefit