Information Governance
Get your key to enter the Data Driven Company era
Information Governance
The key to enter the era of Data Driven Company
Client testimonials
Together with Irion, we created the business glossary, the data dictionary, and then we built a repository that provides us with a map of our business data assets, a map which is very easy to access, not just for technical users but for everyone who works with data.
Ettore Corsi
Head of Organization Service, CREDEM Group
THE NEEDS, THE CHALLENGES, AND THE SOLUTION
The needs
Govern the business data with a unique and integrated solution available for all actors involved
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 – 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.
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.
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
The 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
Results achieved
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 stakeholders’ 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 “alive” thanks to automated connectors and appropriate loading templates
The 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.
Progress Improvement
The model, the metrics, the needs, the actors constantly evolve. One cannot crystallize a governance model, or imagine “one-fits-all-seasons”. The approach is about immediately thinking of managing future developments.
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.
Centralization
Provide the Client with a unique solution implementing the Data Governance and Data Quality initiatives. Provide special KQIs to monitor the adoption of Data Governance initiatives 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.
Progress Improvement
The model, the metrics, the needs, the actors constantly evolve. One cannot crystallize a governance model, or imagine “one-fits-all-seasons”. The approach is about immediately thinking about how to manage future developments.
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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