Industrial DataSpace

Revolutionising your Industry 4.0 journey for seamless data exchange, collaboration and data sovereignty. 

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Problem

Traditional data lakes are excellent for storing vast amounts of data. However, they struggle with governance, security, and understanding data usage. This has led to a staggering 85% failure rate in corporate data lake programs, as estimated by Gartner.

Solution

Industry DataSpace is a groundbreaking platform that addresses the shortcomings of traditional data lakes.It ensures any data injected follows a semantically and syntactically organised digital twin structure while ensuring data governance, security, and interoperability.

Data Lake
Data Warehouse
DataSpace
Repository for Aggregation of Distribution Data?
Yes
Yes
Yes
Foundation for Analytic Workloads?
Yes
Yes
Yes
Primary Focal Point of Governance?
No
Sometimes
Yes
Intermediary to Provide Data for Diverse Uses?
Sometimes
Sometimes
Yes
Foundation for inter company collaboration
(Industrial Ecosystems)
No
No
Yes
Foundation for Application interoperability
-
-
Yes

Key Benefits of Industry DataSpace

The Digital Twins

Digital twins are crucial for future factories and dataspaces. The Industrial Digital Twin Association (IDTA) was formed in 2020 to establish open standards for digital twins, making them accessible worldwide. With over 100 global members, IDTA's Asset Administration Shell standard is a cornerstone of the connected industrial world.

IndustryApps DataSpace - The Connected World

  • Data Ingestion : Collect data from various sources, including IoT devices, sensors, and legacy systems.
  • Data Processing : Transform and enrich data to ensure consistency and quality.
  • Data Storage : Store data securely and efficiently in a centralised or decentralised manner.
  • Data Access and Sharing : Provide controlled access to data based on predefined rules and permissions.
  • Data Governance : Implement robust governance mechanisms to maintain data integrity and compliance.
Real-time Process Control with Digital Twins (Feedback Loop)
  • Capture Asset State data / Productivity Data ( OEE )
  • Capture Demand data - MRP/ Demand planning / Sales Orders
  • Capture Inventory Data
  • AI Model recommends next product sequence based on real time inventory, demand and asset state and performance
Predictive Maintenance with Digital Twins
  • Capture Asset Vibration/ Acoustics/Temperature data
  • Capture Maintenance history from CMMS
  • Data Modelled and trained for Anomalies
  • AI model trained for Anomalies
  • Mapped anomalies with Maintenance history
  • Model integrated with in Digital twin for real time alerts
Real Time Scheduling with Digital Twins
  • Capture Asset State data / Productivity Data ( OEE )
  • Capture Demand data - MRP/ Demand planning / Sales Orders
  • Capture Inventory Data
  • AI Model recommends next product sequence based on real time inventory, demand and asset state and performance
    ‍‍
Digital Work Instructions with Digital Twins
  • Capture Product Work instruction documentation from Engineering, PLM, Quality and other sources
  • Capture Labour skill demands
  • AI generates a knowledge graph of product constantly learns based on user inputs
  • Delivers an up-to-date Work information enabling digitalisation of knowledge work
Lab
Data
Pilot Production
Data
Manufacturing
Data

Compare batch X21 with  X65 and highlight Variances in overall quality

Build self learning models to compare product batches and recommend BoM/Recipe adaptations

Ready to Revolutionise Your Industrial Operations?

Join the future of industrial digital transformation with IndustryApps. Experience seamless integration, unparalleled data control, and cutting-edge technology tailored to your needs.

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2.5M+

Digital Twins per Month

98.29%

Customer Satisfaction Rate

1M+

Streaming Machine Data Tags

Frequently Asked Questions

What is industrial data management, and why is it important?

Industrial data management involves collecting, integrating, and analysing data from various sources within an industrial environment. It is crucial for enhancing operational efficiency, making informed decisions, and driving innovation through real-time insights and predictive analytics.

Industrial data management involves collecting, integrating, and analysing data from various sources within an industrial environment. It is crucial for enhancing operational efficiency, making informed decisions, and driving innovation through real-time insights and predictive analytics.

How does an AI co-pilot improve industrial operations?

An AI co-pilot provides real-time insights and recommendations, helping operators optimize processes, reduce downtime, and improve productivity by leveraging advanced analytics and machine learning algorithms.

An AI co-pilot provides real-time insights and recommendations, helping operators optimize processes, reduce downtime, and improve productivity by leveraging advanced analytics and machine learning algorithms.

What’s the difference between cloud and on-premise solutions?

Cloud solutions are hosted online, offering flexibility and remote access. On-premise solutions are installed locally on your hardware, providing greater control and security.

 Cloud solutions are hosted online, offering flexibility and remote access. On-premise solutions are installed locally on your hardware, providing greater control and security.

How secure is your industrial automation software?

Our software includes robust security measures such as data encryption, regular updates, and compliance with industry standards to protect your data.

 Our software includes robust security measures such as data encryption, regular updates, and compliance with industry standards to protect your data.

Can your software integrate with my current systems?

Yes, our solutions are designed for seamless integration with ERP, MES, IIOT, and other IT systems, ensuring smooth operation across all platforms.

 Yes, our solutions are designed for seamless integration with ERP, MES, IIOT, and other IT systems, ensuring smooth operation across all platforms.

How long does it take to implement your solutions?

Implementation times vary based on the project’s complexity, but our streamlined process ensures you’re up and running quickly, minimizing downtime and disruption.

 Implementation times vary based on the project’s complexity, but our streamlined process ensures you’re up and running quickly, minimizing downtime and disruption.

What benefits does AI-supported data mapping provide?

AI-supported data mapping ensures consistency and accuracy across all data sources, enhancing data quality and facilitating advanced analytics and AI applications.

AI-supported data mapping ensures consistency and accuracy across all data sources, enhancing data quality and facilitating advanced analytics and AI applications.

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