SOLUTIONS > INFORMATION GOVERNANCE

SOLUTIONS > INFORMATION GOVERNANCE

Information Governance

Get your key to enter the Data Driven Company era

Information Governance

The key to enter the era of Data Driven Company

Master & Reference Data Row
Master & Reference Data Row

Client testimonials

Citazione Alberto Scavino 1Together 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

Credem
THE NEEDS, THE CHALLENGES, AND THE SOLUTION
Needs

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

Challenges

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.

La soluzione

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