How SAS Helped Konica Minolta Optimize Operations and Customer Satisfaction
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Konica Minolta sought to increase customer satisfaction and business efficiency as a way to gain a competitive edge in their marketplace.
![Copyright © SAS Institute Inc. All rights reserved.Copyright © SAS Institute Inc. All rights reserved.
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How SAS® supported the process
Results
Key Challenges
Konica Minolta
• Big data analytics platform that can process massive amounts of
data quickly and utilize high-level analytical methods, such as
machine learning.
• Optimized timing for replacing consumable parts, such as toner.
• Highly precise forecasts for sales, inventory, malfunctions, etc.
• Proactive maintenance to improve customer satisfaction and
reduce costs.
• 60+ analytic models that have resolved business issues and
increased efficiency throughout the company.
• SAS prepares Konica Minolta for the future by enabling global
expansion and further utilization of IoT data.
• Operating in a highly competitive market with little
room for true product differentiation, Konica
Minolta sought to increase customer satisfaction
and business efficiency as a way to gain a
competitive edge.
Shouichi Yabe
Director, Data Science Implementation Group
“When we looked at further utilization of IoT data, we found that it [SAS] supports the entire series of steps in the analytical life
cycle, offers high-speed processing of massive amounts of data, and excellent forecasting accuracy.”
SAS® Solutions for IoT
Konica Minolta is a Japanese technology company that
manufacturers business and industrial imaging products.](https://image.slidesharecdn.com/konica-181108165831/85/konica-minolta-1-320.jpg)
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How SAS Helped Konica Minolta Optimize Operations and Customer Satisfaction
- 1. Copyright © SAS Institute Inc. All rights reserved.Copyright © SAS Institute Inc. All rights reserved. Powered by How SAS® supported the process Results Key Challenges Konica Minolta • Big data analytics platform that can process massive amounts of data quickly and utilize high-level analytical methods, such as machine learning. • Optimized timing for replacing consumable parts, such as toner. • Highly precise forecasts for sales, inventory, malfunctions, etc. • Proactive maintenance to improve customer satisfaction and reduce costs. • 60+ analytic models that have resolved business issues and increased efficiency throughout the company. • SAS prepares Konica Minolta for the future by enabling global expansion and further utilization of IoT data. • Operating in a highly competitive market with little room for true product differentiation, Konica Minolta sought to increase customer satisfaction and business efficiency as a way to gain a competitive edge. Shouichi Yabe Director, Data Science Implementation Group “When we looked at further utilization of IoT data, we found that it [SAS] supports the entire series of steps in the analytical life cycle, offers high-speed processing of massive amounts of data, and excellent forecasting accuracy.” SAS® Solutions for IoT Konica Minolta is a Japanese technology company that manufacturers business and industrial imaging products.