Operations Data & Applications Model - Drive Agility, Flexibility, and Transformation

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AI Summary

Prophecy 2024 Webinar Series Summary

Introduction

• Host: Sarah Osel
• Focus: Data-driven decision-making, continuous improvement, and democratizing data
• Objectives:
  • Drive agility, flexibility, and transformation
  • Centralize and standardize configuration
  • Enable contextual OT visualization
• Disclaimer: Forward-looking statements, not for purchasing decisions
• Housekeeping:
  • Interface buttons explained
  • Q&A through chat, contact team, access resources, technical assistance, and feedback options

Presenter: Prasad Pi

• Background: Automation expert with experience in manufacturing sectors
• Focus: Enterprise-wide data and applications model
• Contact: LinkedIn

Challenges and Trends

• Business model transformations
• Increased supply chain connectivity
• Labor skill transitions
• Sustainability as a mainstream metric

Digitization and Data Governance

• Importance of digitization
• Challenges with outdated infrastructure, employee training, and change management
• Data as a central transformation challenge
• Only 3% of data is useful for transformation

Data Ownership and Configuration Inconsistency

• Unclear data ownership
• Siloed mentality in industry
• Inconsistent configurations across sites
• Difficulty extracting data from legacy systems

Role of Software

• Software can help by driving standardization and organizing data
• Incremental approach to digitization
• Operations data and applications model for Enterprise scale

Operations Data and Applications Model

• Components: Data model, directory, bus, and unified namespace
• Benefits: Single configuration, advanced deployment, data connectivity, and flexibility
• Goals: Define small, ROI-driven steps towards digitization
• Results: Agility, efficiency, and cost reduction

Prophecy Portfolio and Smart Factory

• End-to-end solution from controls layer to ERP
• Central management, common security model, visualization, and configuration
• Cloud deployment options: Virtual private cloud, native SaaS offerings
• Historian for cloud and Manufacturing Data Cloud (MDC) for OT data storage

Conclusion

• Innovation based on customer feedback
• Encouragement to participate in surveys for future product development

Call to Action

• Scan QR code for surveys and feedback

[Music]