
Data Spaces in Manufacturing
Description
Data Spaces in Manufacturing
This IDC Perspective analyzes the key drivers of today's proliferation of business data spaces and their implications for shop-floor processes. It outlines different roles, data flow scenarios, and examples of data spaces as gathered from IDC research and interactions with companies active in these initiatives."Manufacturing data spaces focus on how data is transformed into insights to create high-value differentiators for products, customers, and markets. They also indicate how effectively organizations deliver meaningful, value-added learning predictions, and actions that improve engagement, processes, enterprise decision making, and resilience," said Lorenzo Veronesi, associate research director, IDC. "The success of data spaces depends on collaboration within and across enterprises which requires seamless exchange of information and inter-enterprise collaboration. This collaboration leads to transparency in decision making and trust among participants."
Please Note: Extended description available upon request.
Table of Contents
12 Pages
- Executive Snapshot
- Situation Overview
- Roles Within Manufacturing Data Spaces
- Data Flow Scenarios
- A Sample of Industrial Data Spaces
- Information Exchange Model
- Goal
- Key Characteristics
- The Role of Technology
- Shared Application Model
- Goal
- Key Characteristics
- The Role of Technology
- Goal
- Key Characteristics
- The Role of Technology
- Advice for the Technology Buyer
- Learn More
- Related Research
- Synopsis
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