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What is Honeywell Forge?

Honeywell Forge stands out as a sophisticated analytics software solution that provides users with immediate insights and visual intelligence. Its architecture is adaptable, allowing deployment across diverse cloud or data center settings. This tool offers a holistic view of the organization, illustrating the current status of processes, assets, human resources, and safety protocols. Moreover, Honeywell Forge is tailored to meet the unique needs of different roles within a company, emphasizing a persona-based approach. By employing digital twins, the software leverages real-time data to evaluate performance against leading industry standards, revealing areas ripe for enhancement. Users have the capability to drill down from a broad organizational overview to specific locations and units, enabling them to gain a more detailed understanding of identified opportunities, including the intricacies of the processes and assets involved. With such insights at their disposal, organizations can implement targeted recommendations to tackle challenges and capitalize on identified potential benefits. This functionality not only boosts operational efficiency but also equips organizations with the data needed to make strategic decisions based on solid evidence. Ultimately, Honeywell Forge serves as a valuable ally in driving business transformation and fostering a culture of continuous improvement.

What is DataForge?

DataForge is unique as the only framework that integrates all three essential aspects of data development. By combining distinct features from each element and applying a thorough methodology, it creates an unmatched foundation for effective data design. Its cloud version, DataForge Cloud (DFC), acts as a powerful management service for data platforms, intricately aligned with the DataForge framework. DFC streamlines this framework into efficient automated workflows for developers, enabling data processing on platforms like Databricks and Snowflake. With a combination of structured coding and an event-driven workflow engine, DFC guarantees full automation in establishing necessary processing steps and overseeing dependencies. This standardization of processing phases promotes consistent infrastructure sizing, which boosts efficiency. Furthermore, DFC enhances performance through the dynamic allocation of resources, selecting the best cluster or warehouse at each stage to ensure optimal cost-effectiveness without compromising quality. This innovative strategy not only simplifies the development workflow but also substantially improves the overall user experience, making data management more accessible and efficient for all users. Overall, DataForge and DFC represent a significant advancement in the realm of data development and management.

Media

Media

Integrations Supported

APERIO DataWise
Akoonu
AppVisionâ„¢
AutoGrid
Buildings IOT
Cisco Kinetic
Digimarc Discover
DriveHCM
DriveHR
Flosum
Glassdome
Harvest
Homebase
Itron Enterprise Meter Data Management
Kong Mesh
SAP Store
Sine
Stuut
Switch Automation

Integrations Supported

Snowflake

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$2.50 per process

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

Honeywell International

Date Founded

1906

Company Location

United States

Company Website

www.honeywellprocess.com

Company Facts

Organization Name

DataForge

Date Founded

2023

Company Location

United State

Company Website

www.dataforgelabs.com

Categories and Features

Digital Twin

Not specified

Industrial Automation

Not specified

MRP

Inventory Management
Order Management
Production Scheduling
Quality Management
Reporting/Analytics
Safety Management

Smart Building

Not specified

Categories and Features

Data Management

Not specified

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