Information Governance
Together with Irion we built the business glossary, the data dictionary, and then we built a repository that represents to us the map of the company’s information assets, a map that is very accessible, not to technical figures, but to everyone who deals with data.
Ettore Corsi
Head of Organization Service
Customer since
2005
Requirements
Govern the business data with a unique and integrated solution available for all actors involved
Premise: Govern business data management in all its complexity. Centralize Data Governance and Data Quality, taking onboard DataOwners and DataManagers with different timings and working modes โ all in one unique solution.
Data Governance
Implementation of a centralized, solid, and expandable Data Governance model
Creation of a business data culture which allows to have a common dictionary of terms and know who produces, certifies, and uses it.
Visualizations on several levels: from business to technical. Model metadata profiling for secure ownership attribution.
Creation of a business data culture which allows to have a common dictionary of terms and know who produces, certifies, and uses it.
Visualizations on several levels: from business to technical. Model metadata profiling for secure ownership attribution.
Data Quality
Centralized business rule catalog, regardless of physical location within the organization.
Governance model for monitoring and qualifying data production chains.
Results collected for common use and display.
Governance model for monitoring and qualifying data production chains.
Results collected for common use and display.
All-in-one approach and modularity
A unique solution combining a Data Governance model, rule catalog, and Data Quality engines
An all-in-one product consisting of highly interoperable modules
An all-in-one product consisting of highly interoperable modules
Solution
A Data Governance-complete system
Capabilities
Some of the Irion EDM features used:
Governance model integrated with DQ
Orchestration Automation Workflow Engine
Metadata Driven Engine, Execution Datastore
Transformation Rule Engine
Adaptive Data Repository
Dashboarding Reporting
Mail notifications
Governance model integrated with DQ
Orchestration Automation Workflow Engine
Metadata Driven Engine, Execution Datastore
Transformation Rule Engine
Adaptive Data Repository
Dashboarding Reporting
Mail notifications
Results obtained
Metadata repository (model) integrated with the business processes and Data Quality metrics
Rule catalog that provides a centralized vision of the rules implemented on the platform or distrubuted on other systems
The connections between the model entities that constitute the stakeholdersโ data and metadata perimeters
Workflow Engines for managing the evolution of the model and guided publishing of the Golden Copy
Special KQIs for monitoring and governing the IG model showing it on different analysis directives
The model is โaliveโ thanks to automated connectors and appropriate loading templates
Rule catalog that provides a centralized vision of the rules implemented on the platform or distrubuted on other systems
The connections between the model entities that constitute the stakeholdersโ data and metadata perimeters
Workflow Engines for managing the evolution of the model and guided publishing of the Golden Copy
Special KQIs for monitoring and governing the IG model showing it on different analysis directives
The model is โaliveโ thanks to automated connectors and appropriate loading templates
Challenges
Centralization, change, progress improvement
Centralization
Provide the Client with a unique solution inmplementing the Data Governance and Data Quality initiatives. Provide special KQIs to monitor the adoption of design initiatives in Data Governance and their efficiency.
Change
The product or system is just a part of a DG initiative. The stakeholders must be taken on board of DG with targeted projects within business planning. The selected product must make the change process easier, not harder.
Collaboration
Managing perimeters and authorizations allows the stakeholders to work securely on their own section of model and data while still having a global vision of the system.
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