JY

Jinhong Yang

Director Of Finance at Navori Labs

Jinhong YANG is an experienced finance professional with a strong background in financial management and administration. Currently serving as the Director of Finance at Navori since October 2013, Jinhong YANG previously held the position of Director of Finance and Administration at Clinique Concorde Vaudoise et China Institut MTC Sàrl from January 2006 to December 2012. Prior experience includes a role as Project Manager at Climaveneta from September 1991 to December 1999. Jinhong YANG holds a Master's degree in Finance and Financial Management Services from AGSB, Switzerland, completed between 2000 and 2002. Additional education includes training at GF Goodwill Formation.

Location

Lausanne, Switzerland

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Navori Labs

Navori Labs, a Swiss software innovator, delivering premium digital signage and AI driven marketing analytics solutions to improve physical businesses and organizations worldwide. With over 20 years of experience Navori delivers premium technologies and large-scale deployment expertise to customers around the world. Our multiplatform software uses an open architecture and is developed in-house by a team of highly qualified engineers. We offer cloud and on-premise products that are third-party certified for government and enterprise use. QL Software includes everything you need to create, deploy your digital signage, and play any content on any screen. QL’s intuitive user interface hides a powerful, fully-featured, enterprise-grade CMS software. You can manage complex content deployment scenarios effortlessly from your desktop, tablet, or phone. Aquaji software produces comparable data to manage physical stores, assess marketing activities, and improve the customer experience. It delivers visitors foot-traffic, demographics, experience, and attention span in physical spaces. When used in conjunction with Navori’s QL digital signage platform, Aquaji delivers targeted content to any display or device based on the audience profile and can also perform as a business intelligence feeder for cross-data analysis.


Employees

51-200

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