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Description
A Digital Thread is essentially a graph consisting of nodes that represent various elements found in enterprise repositories, tools, and systems for version control, with edges denoting both intra-model relationships within each tool and inter-model connections that Syndeia facilitates between these nodes. Additionally, Syndeia offers model transformation capabilities that help construct the digital thread graph, allowing for operations such as seamlessly dragging and dropping requirements from Jama or DOORS-NG into SysML, generating Simulink models and PLM part structures derived from SysML models, linking behavior elements in SysML to corresponding software code in GitHub, and even monitoring the development progress of a sub-system in JIRA directly from SysML. Furthermore, Syndeia enhances the functionality of the digital thread by providing services for searching, comparing, and bi-directionally synchronizing interconnected models, enabling users to compare and synchronize alterations in system architecture with the PLM part structure or align changes made in DOORS-NG requirements with SysML, illustrating the comprehensive capabilities of digital thread management. Ultimately, this interconnected approach not only streamlines workflows but also ensures that all components of a project remain aligned and up-to-date across multiple platforms.
Description
Eliminate all manual procedures, potential error sources, and inefficiencies. Avoid the need to constantly re-engineer your data warehouse with every shift in business requirements. Implement automatic quality checks both between and within data sources and respond swiftly when issues arise, which is essential for numerous data users. It’s important to genuinely trust your data now. Create a “gold record” reference point to ensure that business teams always have access to the most up-to-date information available. Establish one unified version of the truth that can be accessed anytime, anywhere. Develop an intermediate model that organizes, stores, and preserves your data independently of how it will be used. Be agile in responding to evolving data sources and business inquiries. Seamlessly connect all your data sources—from data lakes and operational systems to spreadsheets and legacy tools—just like you would with the initial one. Ensure data is stored, preserved, and enhanced in quality to streamline data warehouse automation processes. Data should be organized, enriched, and thoroughly documented so that it is accessible in well-structured datasets (information marts). In doing so, you pave the way for more efficient decision-making across the organization.
API Access
Has API
API Access
Has API
Integrations
Creo
GENESYS
GitHub
Google Sheets
IBM DOORS Next
Jama Connect
Jira
MATLAB
Microsoft Excel
Microsoft Power BI
Integrations
Creo
GENESYS
GitHub
Google Sheets
IBM DOORS Next
Jama Connect
Jira
MATLAB
Microsoft Excel
Microsoft Power BI
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Intercax
Founded
2007
Country
United States
Website
intercax.com/products/syndeia/
Vendor Details
Company Name
dFakto
Founded
2000
Country
Belgium
Website
www.dfakto.com/datafaktory-data-warehouse-automation/
Product Features
Engineering
2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge