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What is transentis?

Transentis operates as a transformation framework grounded in a model-driven approach, allowing leaders to understand, rethink, and maneuver through complex enterprises with numerous stakeholders by utilizing dynamic computational models. By integrating diverse documents, tacit knowledge, processes, capabilities, decision-making authorities, data flows, partner interactions, and key performance indicators, it creates a cohesive and searchable representation of how the organization truly operates. Developed in collaboration with the client’s team and augmented by AI technology, the resulting operational model is accessible through an API or conversational interface, which can be modified in response to changing circumstances, serving as a singular source of truth throughout the transformation journey. This capability empowers teams to test out potential modifications to the operating model, evaluate prospective scenarios, identify dependencies and uncertainties, and discover the most impactful strategies to boost performance before committing resources. Additionally, for scenarios requiring deeper analysis, this model can facilitate the creation of enterprise digital twins, predictive simulations, and AI-enhanced decision-making systems, thereby providing a holistic framework for organizational transformation and ongoing enhancement. Ultimately, this approach not only streamlines processes but also fosters a culture of innovation and adaptability within the organization.

What is ON EBX?

ON EBX is a model-driven, multi-domain master data management platform that helps enterprises establish a centralized and governed foundation for master data, reference data, and metadata. The software is designed to address fragmented information, inconsistent records, duplicated data, and limited visibility across enterprise applications and departments. Its flexible data modeling capabilities allow organizations to define and evolve complex data structures based on their business requirements rather than relying exclusively on predefined schemas. ON EBX supports the management of relationships, hierarchies, business rules, and contextual information that help connect enterprise data to the processes and decisions it supports. Built-in data validation, governance workflows, and lifecycle controls help maintain data quality and consistency while reducing manual reconciliation activities. The platform provides Customer 360 capabilities for creating consistent customer records and improving visibility into customer information across business systems. Product data management tools help organizations maintain accurate product information and support processes related to product development, distribution, and time-to-market. Supplier data management capabilities improve the organization, visibility, and governance of supplier records and associated business relationships. Reference data management enables organizations to standardize common data values, classifications, and definitions across applications and operational processes. ON EBX also prepares structured, context-rich information for analytics, artificial intelligence, and large language model applications by enriching data with meaningful relationships and business context.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

transentis

Date Founded

1997

Company Location

Germany

Company Website

www.transentis.com

Company Facts

Organization Name

Cloud Software Group

Company Location

United States

Company Website

www.onebx.com

Categories and Features

Training

Not specified

Categories and Features

Data Governance

Not specified

Data Lineage

Not specified

Data Management

Not specified

Data Quality

Not specified

Metadata Management

Not specified

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