The Impact of Master Data Management

Master Data Management (MDM) becomes crucial as data turns into a central asset in driving operational excellence, customer satisfaction, compliance, and innovation. It plays a key role in Digital Transformation to digitize and automate operations, innovate services, and engage with customers through digital channels. 

Regardless of MDM approach – Whether it is consolidated, centralized, or federated there are challenges around integration, data governance, adaptability and how to manage the Metadata and Reference data.

The inorigo® metagraph platform provides a foundation for the synergy between Metadata, Reference – and Master data elements. Resulting in a more coherent, efficient and effective data management that supports both operational excellence and strategic decision-making. 

inorigo® connects master-data, reference-data and meta-data into a dynamic Meta-context, distributing the data governance and ownership to business. It allows for managing new relations cross domain with speed and precision, automated where appropriate

Metagraph Technology Supporting End-To-End MDM

Implementing or expanding a MDM system as needs change and emerge is a challenge. inorigo® facilitates master data management through its metagraph capabilities. Here are some of the key features:

Compensating For GAPS

Although many MDM software are capable, there will be data models, taxonomies and ontologies which they are not built to manage.  Instead of keeping them in spread sheets or building customizations inorigo® is a perfect place to extend the MDM capability. 

The inorigo® Explorative Mode

The Explorative mode lets MDM experts rapidly design an information and data model together with business stakeholders. The model can be verified by creating and simulating different governance scenarios, using relevant sample data in a series of iterations.

This eliminates shortcuts and risks before implementing or expanding the MDM system. It is possible to address a specific area, then expand by building out the model; adding data samples and simulating integrations to other IT systems, with the result being a blueprint of the future setup. 

Contextualized Integration

The metagraph platform supports the integration of the pieces of master data, the data in a context – as well as the structures, data attributes and relations across diverse sources. Besides minimizing the need for ETL, and harmonizations, it can enhance the labelling quality used by AI.  

A Foundation For The Adaptable MDM Ecosystem

By utilizing inorigo®’s full technology suite companies can build an overarching meta model, and  a governance setup enabling Subject Matter Experts (SMEs) to manage and maintain their own metadata. Including taxonomies and ontologies.

Since each object/entity, attribute and relation carries their own unique ID they can be linked or exported to other IT systems, creating digital threads across the whole value chain. 

Through comprehensive data integration, enhanced metadata management and improved data quality inorigo® reinvents Data Governance. Secure data sharing is facilitated, promoting transparency and accountability.

inorigo®’s metagraph technology fundamentally transforms active metadata management, addressing the limitations of traditional approaches. The dynamic platform enables organizations to ensure that its metadata is continuously updated, contextualized and linked to governance and compliance frameworks.