Process-Oriented Data Valuation Manufacturing Organizations is a B.Tech project topic for Information Technology. It gives students a clear starting point for research, implementation planning, and documentation.
Process-Oriented Data Valuation Manufacturing Organizations Project Details
| Abstract |
This research addresses the critical challenge of effectively valuing data assets within manufacturing organizations, where data is frequently perceived as a byproduct rather than a strategic resource. A process-oriented methodology for data valuation is proposed, fundamentally grounded in decision theory and seamlessly integrated with enterprise architecture principles. The framework adheres to a Design Science Research approach, encompassing five distinct steps: decision identification, comprehensive information landscape assessment, detailed technology capability mapping, marginal information valuation utilizing the Value of Information concept, and the projection of performance impact onto key business metrics. This structured approach establishes a direct link between data assets and organizational decision-making processes, enabling the translation of operational enhancements into
quantifiable monetary terms. Such a capability empowers organizations to make well-informed investment decisions regarding their data assets. A preliminary evaluation, conducted through a predictive maintenance case study, demonstrates the practical applicability of this methodology. Future validation efforts will involve additional case studies and usability surveys to ascertain its utility in diverse real-world enterprise environments.
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| Reference Paper |
Process-Oriented Data Valuation In Manufacturing Organizations |
| Domain |
Information Technology |
| Sub-Domain |
Data Analytics |
| PDF Download |
Download / View PDF |
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