DTO Challenges & Potential

There is a hidden potential in the intangible assets within businesses, and organizations who learn to navigate, manage and connect them to the physical assets will unlock new opportunities to leverage value.

Deriving value from intangible assets, like knowledge, information and data, requires managing them with a set of tools designed and built for this purpose.

This is where metadata becomes important: It is smart data. Metadata provides data with context. Metadata also provides context in terms of relations to other data.

Without it, asset management becomes hard and inaccessible. Only available to a small group of people within a company.

Metagraph technology enabling DTOs

The inorigo® metagraph platform excels in supporting the creation of a DTO through the following capabilities and tools: 

Diverse Relationship Representation

Businesses involve complex, multidimensional relationships among various elements such as processes, resources, departments, and personnel. The inorigo® metagraph platform is adept at storing and representing these complex relationships, enabling the digital twin to mirror the real-world intricacies of the business accurately, without compromise.

Dynamic Data Integration

Businesses are dynamic entities where data and processes are continually evolving. Through its low-code capabilities, inorigo® supports the management of dynamic data effectively, allowing updating the digital twin in real-time or near real-time, to reflect current conditions.

Scalability

As businesses grow and evolve, their digital twin models and data must also adapt. The inorigo metagraph database is inherently scalable, capable of expanding to accommodate new data, processes, and relationships. This scalability ensures that the digital twin remains a faithful and efficient replica of the business at any scale.

Advanced Analytics & Insight Generation

The meta and reference models in inorigo® enable sophisticated data analytics. Enabling complex queries and analysis that consider the multifaceted relationships within the business. This leads to deeper insights and more informed decision-making, based on the comprehensive view provided by the digital twin.

inorigo’s® ability to represent complex relationships, scale, and handle dynamic and diverse data makes it a foundational element for the DTO’s information architecture.

– Marc Kerremans, VP analyst at Gartner

Interoperability

In today’s businesses, data comes from a multitude of sources and systems. inorigo® can map and harmonize this diverse data, ensuring seamless interoperability. This aspect is vital when there is a need to consolidate and utilize information from across the entire business ecosystem.

Predictive Modeling and Simulation

The inorigo® Explorative mode support advanced predictive modeling and simulations by providing a rich, interconnected data structure. This allows businesses to simulate various scenarios within their digital twin, anticipate potential outcomes, and plan accordingly, thereby reducing risks and improving strategic planning.

Customization and Flexibility

Every business is unique, and so is its digital twin. inorigo® offer the flexibility to customize the structure and representation of data to align closely with the specific needs and characteristics of the business, ensuring that the digital twin is a true and effective virtual counterpart.

inorigo® will effectively manage high level of variance across multiple domains and manage complex relationships at the appropriate abstraction level between Product, Service and Software.
Thus the traditional approach, which renders significant number of duplicated relationships to maintain is avoided.

AI systems, when not underpinned by transparent and accurate data labelling, risk misinformed decision-making.inorigo® provides an interconnected metagraph based platform that serve AI algorithms with contextualized and precise labels to deliver more accurate nuanced insights.