Enterprise Business Glossary

In a company, the Business Glossary addresses the need for understanding and sharing a common language among all participants. This presentation explains its main features and how to implement it effectively with Irion.

Requirements

Understanding informational assets to improve communication within the company and increase business value

Organizing Today’s and Tomorrow’s Information

Flexible and dynamic governance model to easily expand perimeters and scopes over time
Metadata repository, Business Glossary, Data Dictionary and Data Governance & Quality system natively integrated
Collaborative environment capable of supporting change management processes in an engineered way

Reduce ambiguities and increase data reliability

Multi legal entity system with segregation of data access profiles down to the single attribute level
Graphical navigation of the metadata and data model via specific WEB interface to understand and explore the behavior of business information
Model and data history management, KPI (key performance indicator) calculation engines and dedicated dashboards

Continuous updating and alignment

Metadata driven approach ensures constant alignment between the operation of data management solutions and the metadata describing it
Massive and automatic upload of technical metadata from target systems including Big Data leveraging the potential of the many connectors built into the platform
Integrated view of Business metadata and metadata used to drive the operation of Data Management engines

Solution

Capabilities

Some of the Irion EDM features used:
Semantic Knowledge Graph
Data Governance by Design
Metadata Driven Data Management
Service Oriented Data Governance

Results obtained

Organized and regulated classification of business information
Common, constantly updated glossary in line with organizational developments
Shared interpretation of Business Entity semantics and ontology
Flexible governance model to nimbly expand the scope to new domains/services
Comprehensive view of the data lifecycle: data lineage and impact analysis
Historization mechanism that meets regulatory compliance needs
System for risk monitoring and preventive impact verification

Challenges

Quickly obtain a ready-to-use glossary

Better relationships
Facilitate understanding between Business and IT department
Continuous alignment
Keep up with business changes
Credibility and productivity
Increase data reliability and the practical ability to use it
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