Data Quality & Governance for Regulation 38 IVASS
Data quality and governance in a single solution
Irion Dots® helped us register all metadata (data sources, business glossary, critical data, and data lineage) and see how it’s related.
Aldo Figari
Data Governance & Business Intelligence Technology
Customer since
2018
Requirements
Centralize Data Governance and Data Quality in a single solution
Govern the complexity of business data management in compliance with the IVASS Regulation 38
Data Governance
Implementation of a centralized, robust and expandable Data Governance model with the goal of managing:
Data Sources
Business Glossary
Critical Data
Business Data Lineage
Master of controls
Data Sources
Business Glossary
Critical Data
Business Data Lineage
Master of controls
Data Quality
Centralization of the enterprise controls catalog, regardless of their physical location in the enterprise
Placement within the governance model to monitor and qualify data production chains
Collection of outcomes for unified use and exposure
Calculation of data quality indicators and the ability to nimbly navigate through a monitoring dashboard
Placement within the governance model to monitor and qualify data production chains
Collection of outcomes for unified use and exposure
Calculation of data quality indicators and the ability to nimbly navigate through a monitoring dashboard
Solution
Data Governance that constantly evolves
Capabilities
Governance model integrated with Data Quality
Orchestration and automation
Metadata Driven Engine, Execution Datastore
Transformation Rule Engine
Adaptive Data Repository
Dashboarding Reporting
Orchestration and automation
Metadata Driven Engine, Execution Datastore
Transformation Rule Engine
Adaptive Data Repository
Dashboarding Reporting
Results obtained
Metadata repository (model) integrated with the business processes and Data Quality metrics
Rule catalog with a centralized vision of the rules distributed on other systems
Special KQIs for monitoring and governing the model on different analysis guidelines
Model kept «alive» thanks to automatic connectors and dedicated loading templates
Some of the figures
3.281 data entires
139 streams
300 control points
Over 400 registered rules
Rule catalog with a centralized vision of the rules distributed on other systems
Special KQIs for monitoring and governing the model on different analysis guidelines
Model kept «alive» thanks to automatic connectors and dedicated loading templates
Some of the figures
3.281 data entires
139 streams
300 control points
Over 400 registered rules
Challenges
Centralization, change, progress improvement
Centralization
A single solution where to implement Data Governance and Data Quality initiatives.
Definition of specific KQIs to monitor the effectiveness and adoption of project initiatives in Data Governance.
Definition of specific KQIs to monitor the effectiveness and adoption of project initiatives in Data Governance.
Change
A product or a system is just a part of a Data Governance initiative which should facilitate and not impede the change process.
Progress improvement
The model, the metrics, the needs change constantly. One cannot crystallize a governance model or think of «one-fits-all-seasons». One should think from the start of how to manage the future changes.
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