Lumada IIoT Reviews & Ratings

Lumada IIoT

4.0 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Ratings and Reviews 1 Rating

Total 4 out of 5 stars
ease 5 out of 5 stars
features 4 out of 5 stars
design 4 out of 5 stars
support 5 out of 5 stars

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What is Orquestra IIoT Data Manager?

Orquestra IIoT Data Manager functions as an all-encompassing platform for data acquisition, effectively managing field data and relaying insights related to various company applications. This innovative solution facilitates effortless communication with a multitude of machines and devices deployed in the field, regardless of the underlying technologies, while standardizing the information produced to create a cohesive interface that collects data on machinery performance and production processes. Users have the flexibility to tailor how they monitor these processes, which improves information accessibility and optimizes production line management. It also provides real-time Overall Equipment Effectiveness (OEE) metrics, assesses performance metrics from manufacturing sites, and guarantees the accuracy of the data it gathers. Moreover, the platform automates the entire data collection process, ensuring seamless tracking of both progress and production. It further supplies immediate notifications regarding events and critical situations, enabling quick corrective actions to be implemented. With these robust features, Orquestra IIoT Data Manager not only enhances operational efficiency but also elevates responsiveness in manufacturing environments, ultimately driving better decision-making and improved outcomes. This comprehensive approach makes it an invaluable tool for modern industrial operations.

What is Lumada IIoT?

Design sensors specifically for IoT applications while improving the quality of collected data through the integration of environmental and control system information. This integration must happen in real-time alongside enterprise data, enabling the implementation of predictive algorithms that reveal new insights and maximize the value of your data for meaningful applications. Employ advanced analytics to predict maintenance needs, understand asset utilization, reduce defects, and optimize processes. Leverage the potential of interconnected devices to offer remote monitoring and diagnostic capabilities. Additionally, apply IoT analytics to foresee safety hazards and ensure regulatory compliance, which ultimately contributes to a reduction in workplace accidents. The Lumada Data Integration platform streamlines the rapid development and scaling of data pipelines, amalgamating information from a variety of sources, such as data lakes, warehouses, and devices, while proficiently managing data flows across different environments. By building partnerships with clients and industry stakeholders from diverse sectors, we can accelerate digital transformation, thereby creating new societal value. This collaborative method not only fosters innovation but also promotes sustainable growth in a world that is becoming increasingly interconnected, proving that teamwork is essential for success.

Media

Media

Integrations Supported

Integrations Supported

Hitachi Visualization Suite

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Softeam

Company Location

Italy

Company Website

www.softeam.it

Company Facts

Organization Name

Hitachi

Company Location

Japan

Company Website

www.hitachi.com/products/it/lumada/global/en/about/index.html

Categories and Features

Industrial IoT

Not specified

IoT Analytics

Not specified

Categories and Features

Data Pipeline

Not specified

DataOps

Not specified

EAM

Not specified

Industrial IoT

Not specified

Integration

Not specified

IoT

Big Data Analytics
Data Collection
Data Management
Device Management
Performance Management

IoT Analytics

Not specified

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