Powering the Digital Transformation of Manufacturing

Connecting physical assets, business systems and automated workflows to optimise efficiencies and reduce downtime


Process manufacturers are constantly striving to maintain and increase competitiveness in the market through efficient operations, well-managed downtime and optimisation of resources. The adoption of digital solutions to enable these outcomes are critical to future success, but can be challenging task without the right technology stack.


Reekoh’s edge-to-enterprise integration platform and toolkit provides manufacturers the right digital foundation to accelerate transformative solutions that have an immediate impact on the bottom-line.

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Colin McElligott, Sales Director – Manufacturing, Infrastructure

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Data Challenges for Process Manufacturing Operations

  • Technology and hardware fragmentation across multiple sites
  • Business intelligence data disconnected from operational data
  • Reliance on factory-floor manual asset intervention
  • Skills shortage with digital and data proficiency

Benefits of Reekoh in Manufacturing

  • Integration of on-premise, local network assets and applications with cloud and APIs through a common platform
  • Automation of real-time and historical insights into business workflows and processes
  • Standardization of data acquisition, enrichment and normalization methodology
  • Enables modular architecture, avoiding further vendor lock-in

This manufacturer developed their Automated Condition Monitoring solution with Reekoh, and reduced operator intervention time by 3,000% per asset by eliminating the need for PLC and SCADA programming for maintenance Work Order management in SAP.

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Example solutions for Manufacturing, powered by Reekoh

Condition Monitoring

Integrating sensors and software to analyze data and alert operators to any anomalies or changes in performance, allowing for proactive measures to address issues and optimize their operations, resulting in increased efficiency and profitability. By continually refining maintenance processes based on data feedback, closed-loop data-driven maintenance can help to improve equipment reliability and reduce downtime.

Streamlined Supply
Chain Processes

Integration is essential for streamlining supply chain processes by connecting disparate systems and data sources. By integrating data across the supply chain, manufacturers gain greater visibility and control over their operations, enabling them to make data-driven decisions that optimize processes, reduce waste, and improve overall efficiency.

Mapping Common
Data Models

By standardizing data elements, attributes, and relationships, a common data model enables seamless data integration and communication between disparate systems, devices, and applications. This eliminates data silos and ensures that all stakeholders have access to the same accurate and up-to-date information, improving decision-making and overall efficiency.

Scalable, robust and secure data integration is essential for realising the full potential of your disconnected data, driving efficiency and performance.


Agile, modular integrations

  • Industrial Protocols: SCADA, OPC, MQTT/S, CSV
  • Industrial Applications: AVEVA System Platform, OSI PI, IIoT Edge Analytics
  • Business Applications: SAP, IFS Ultimo, IBM Maximo, Smartsheet
  • Cloud Solutions: Snowflake, AI/ML, AVEVA Insight
  • Open Services: Supply Chain, Weather

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MTC integrates Machine Learning with Guided Analytics and EAM

Read about how Reekoh partner SolutionsPT, using AVEVA Insight, EAM and Reekoh’s Industrial Integration Cloud, took machine learning to the next stage with Guided Analytics in this world-first demonstrator.

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Other Industry Solutions