トピックアウトライン

• Leveraging Data Studio in Supply Chain Management

  Leveraging Data Studio in Supply Chain Management

  Content Type
  Video

  Duration
  20m

  Level
  Introductory

  Learn how InterSystems Data Studio™ transforms supply chain management by enabling nontechnical users to unify and normalize data for business insights. Mark Holmes and Ming Zhou, supply chain experts at InterSystems, explain how Data Studio accelerates time-to-value and improves data access, as well as how it complements InterSystems Supply Chain Orchestrator™.
• Graphic Used in This Video

  Graphic Used in This Video
  InterSystems Data Fabric Studio with supply chain module: A fully managed, self-service data gateway for a unified source of actionable information

  This diagram illustrates the architecture and functionality of Data Studio as applied to supply chain management. It represents how data sources, data processing mechanisms, and data users all interact within the platform. For more information about the details of this diagram, click Details below.

  The section on the left lists some of the diverse origins of data that feed into Data Studio. These data sources include:

  • IBP Applications (Integrated Business Planning tools)
  • Suppliers (third-party vendors and manufacturers)
  • Enterprise Systems (enterprise resource planning, customer relationship management systems)
  • WMS/TMS (Warehouse and Transportation Management Systems)
  • IoT Devices (sensors, smart trackers, connected devices)
  • Sustainability Scope 1, 2, & 3 (environmental impact tracking data)
  • SNEW Data (Sustainability, News, Events, and Weather data)

  
  These sources contribute to a unified and normalized data ecosystem that can be used across multiple applications. The core processing engine of Data Studio is represented in the middle portion of the diagram, handling data ingestion, governance, transformation, and persistence. This processing is broken into four key stages:

  • Connect (ingestion, cataloging, transformation, discovery)
  • Control (governance, workflow management, permissions, validation, promotion of changes)
  • Persist (historical data storage, segmenting of data sets, snapshotting for analysis)
  • Use (enabling users to explore, select, provision, and share data)

  
  On the right side of the graphic are the various users of this data ecosystem. These are all of the users and systems that may consume data that runs through Data Studio. Notably, these include:

  • E2E Visibility Applications (end-to-end supply chain tracking)
  • Supply Chain Design (users optimizing supply chain networks)
  • Sustainability Applications (tracking environmental, social, and governance compliance)
  • Supply and Demand Planning Applications (optimizing inventory and forecasting)
  • Supply Chain Orchestrator (InterSystems decision intelligence for real-time optimization)
  • Analytics Services (data insights and reporting)
  • AI/ML Models & LLM Gateways (machine learning and generative AI-driven analytics)
• What's Next?

  What's Next?
  • Learn more about using Data Studio (video, 5m).
  • Read documentation about Data Studio with supply chain module.