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How Can Data Collaboration Transform Supply Chain Systems?

 
data collaboration

Working on a supply chain strategy usually involves constant reviews of what technological advances have happened and may help to improve efficiency. In between the technology, however, is the fact that information must be shared or exchanged in order for any system to work. Logistics and supply chain management require that a lot of data exchange hands on a regular basis. Every order triggers communication between buyer, retailer, warehouser, and shipper. And in the best cases, critical data is shared in order to improve the workflow of each party in every transaction.

Data collaboration is the term used in the supply chain management industry to talk about the way data is shared. When entities need to work together in order to come up with best practices, they have to be willing to share data and incorporate the experience and suggestions of all partners. While there may be risks, there are also many benefits.

 

Charlie Alsmiller

Throughout his career, Charlie Alsmiller has focused on customer problems in difficult industries such as Energy and Telecommunications. Prior to starting Appterra in 2005, Alsmiller was VP of Global Operations for Allegro Development, a leading provider of software for the energy sector. He has also served as president of OmniSpace Technologies, a leading SaaS provider that he founded in 1999. He spent over 10 years in the consulting world with Price Waterhouse and Deloitte Consulting, where he participated in a wide variety of projects for very high profile clients. Mr. Alsmiller holds a BBA from Baylor University in Management and Information Systems and a MBA from the University of Dallas in International Business. Specialties: Technology ventures, Enterprise Software, Contract Negotiation, International Operations, Private Equity, Product Management, Strategic Alliances, Software Implementation, Software Development

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