Decisyon
Overview
HQ Location
United States
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Year Founded
2005
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Company Type
Private
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Revenue
$10-100m
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Employees
51 - 200
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Website
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Twitter Handle
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Company Description
Decisyon, Inc. provides enterprises, manufacturers and global brands the only solution platform for rapidly building intelligent unified applications for the Internet of Everything.
Year Founded : 2005
Year Founded : 2005
IoT Snapshot
Decisyon is a provider of Industrial IoT platform as a service (paas) technologies, and also active in the aerospace, consumer goods, pharmaceuticals, and renewable energy industries.
Technology Stack
Decisyon ’s Technology Stack maps Decisyon ’s participation in the platform as a service (paas) IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
Supplier Performance Management
Whether sourcing components and ingredients, outsourcing manufacturing to alternative suppliers, or staying abreast of changing market conditions, today’s procurement professionals need an agile means to evaluate supplier performance, identify new sources, negotiate best terms, and track order status—without jockeying between a multitude of Excel spreadsheets, ERP reports, and industry information streams.
Case Study
Lean Manufacturing Process Flows
A multi-national manufacturing company was unable to coordinate the work of all departments involved in the production processes. The company lacked both real-time views into the systems and methods of communication. This situation meant small problems could cause big delays in filling orders, and customers would get frustrated. Additionally, the business’s manufacturing process flow was labor-intensive and error-prone with manual checks on information coming from various departments using Excel spreadsheets. Naturally, the process was slow and not conducive to process improvements, nor was unstructured data (emails, phone calls) shared or saved for future reference. The planning manager wanted a transparent way to find out whether the manufacturing process could fulfill the production plan sent from SAP. As part of his evaluation, he needed to be able to: - Identify potential problems before they happened - Collaborate with coworkers around critical data points - Analyze the historical data, so he could continue to improve the lean production process
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