inorigo® Uses and Solutions
inorigo® is used for a wide range of digital transformation initiatives and industries, from creating complete Digital Twins to specialized end-user solutions. It is used to create tailored data governance and flexible service & product configurations. It can provide AI with contextualized metadata for more nuanced, accurate results and harmonize data from other systems.
Built for many types of users
With inorigo®, users throughout the business may engage in information ownership through powerful governance tools and user-friendly applications, and systems across the information landscape can interconnect seamlessly for data distribution and harmonization.
Low-code graphical builders are used to produce and facilitate constituent solutions, enabling partners and trained business users to build and operationalize high-end solutions. It even provides users who lack development and database skills with the tools to build and deliver sophisticated, production-ready solutions.
Digital Transformation: From complexity to clarity
Information & Data Modeling
The inorigo® platform is built on metagraph technology, which gives it unique capabilities for mastering complex information. It enables the creation of scalable data models that grow iteratively and produce flexible, sustainable solutions.
inorigo’s® Metagraph Builder allows you to create dynamic metagraph models without coding experience. This allows information architects, business stakeholders, and IT to prototype and evaluate models before implementation. Models can be visualized as graphs that can be shared and iterated on, even when running in full operational mode.
Creating Ontology & Knowledge Graphs
The Metagraph Builder, supported by inorigo’s® metagraph capabilities, makes it easy to create ontologies and knowledge graphs. Ontologies describe the formal naming and entities, properties, and relationships within a specific domain and provide context, metadata, and structure to Knowledge graphs.
Knowledge graphs tend to represent specific instances of those entities and their relationships. With inorigo’s® Metagraph Builder, it is possible to work with both these perspectives from abstract conceptualization to concrete representation of knowledge.
inorigo’s® Model Builder has the capability to model multiple levels of abstraction
Metadata Management
inorigo’s® provides regular business users with quickly assembled and customizable governance tools: Intuitive interfaces for adding or editing metadata and master data in familiar spreadsheets or form editors.
It is also possible to seamlessly embed and connect to external data sources, such as referential data standards like ISO or GS1.
Application Builder allows defining a secondary layer of rules and conditions on top of the database, which simplifies, automates, and restricts how data may be edited through a specific governance solution – hiding complexity & protecting data quality.
Dual Governance
inorigo’s® layered architecture enables multiple governance tools to be assembled, distributed, and tailored to meet the needs and rights of specific user groups. Users are protected from the complexity and technicalities of the data model, while the data quality is protected from human error.
The Dual Governance capability enables architects and modelers to define reusable semantic structures, such as definitions, concepts, relationships, and constraints. While business users populate and maintain real-world instances, ensuring operational relevance.
The Dual Governance capability allows users to manage data at different levels of abstraction
Interoperability
inorigo® provides harmonized metadata through APIs or schemas to downstream systems such as MDM, ERP, BI, and AI. This ensures semantic consistency and contextual interoperability.
inorigo® finds a natural place servicing other systems in the landscape with definitions, IDs, or data that resides in the platform. Since other systems cannot manage the information structure in the Metagraph database, inorigo® provides powerful tools for building flattened datasets and exporting them via web services like REST APIs and GraphQL.
inorigo’s® GraphQL schema makes it easy to retrieve structures or metadata from inorigo® and format the response so that the structure is optimized for the consuming system.
Data Connectivity & Integration
inorigo® supports seamless integration of a variety of external database connectors, including Amazon Redshift, MongoDB, Oracle, PostgreSQL, and MySQL. In addition, inorigo® handles data sources such as CSV, Excel, HTML, JSON, and XML with ease.
Harmonizing Data With Knowledge Sets®
With inorigo’s® Knowledge Set Builder, denormalized structures may be built graphically, scheduled, and distributed in all standard formats. By integrating external data sources, inorigo® may also produce external solutions based on external data and mappings that harmonize data from multiple systems.
Knowledge Set Builder allows for querying inorigo® and produces the result as a flat table to be consumed by other systems
Visualization & Exploration
Traceability & Explainability
inorigo® tracks relationships across models to enable explainability and impact analysis. This transparency improves data literacy and helps stakeholders understand data flows, usage, and ownership. It also supports governance by making ownership and impact transparent.
Identify Model GAPS & Improving Data Quality
inorigo® provides tools for evaluating the disparity between the current state and desired objectives. Visualizing the model helps identify gaps and prioritize areas for improvement.
This enables detecting data discrepancies, identifying quality issues, and ensuring alignment with desired standards.
Build. Test. Validate.
The typical inorigo® setup involves working in two modes: explorative and operational. Operational mode is for business experts and knowledge workers who run day-to-day operations and work with real-world data. Explorative mode enables information architects and business modelers to build, test, and validate models and solutions before deploying them.
Explorative mode supports prototyping and testing of new concepts and solutions.
inorigo® then provides tools to synchronize between explorative and operational modes, ensuring data and models always stay current and consistent.
inorigo® facilitates understanding and communicating how different entities relate and are connected
Configuration
inorigo® enables multi-dimensional configuration across various product disciplines, services, and related entities. Rules and relationships may be organized and inherited through several layers of abstraction. It allows for complex multi-relationships and may be configured universally or for specific dimensions only.
These abstractions help minimize the number of configuration rules, making them easier to understand, reuse, and maintain.
Smart Rules and Inherited Properties
Properties for attributes are highly configurable in inorigo, and may be inherited and reconfigured throughout structures. Properties such as Automation, Constraints, Multiplicity, Query-based criteria, and Serial number generation may be defined for attributes and for relations.
Instance naming may be presented dynamically based on attribute values or relationships.
inorigo’s® configuration capabilities allow for creating Bill of Materials and Specifications