Data Governance for data-driven Insurance
IVASS Regulation 38
Data Governance for data-driven Insurance
IVASS Regulation 38
Client testimonials
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, Assimoco Group
Aldo Figari participated as a speaker at Data Management Summit held in Milan on 23 november 2021
Among the subjects considered:
Data Quality, Data Integration, Data Governance, Business Glossary, Data Lineage, IVASS
THE NEEDS, THE SOLUTION, THE CHALLENGES
The needs
Centralize the Data Governance and the Data Quality in one solution
Govern the complexity of business data management in compliance with the IVASS Regulation 38
Data Governance
Implementation of a centralized, solid, extendable Data Governance model to manage:
Data sources
Business Glossary
Critical data
Business Data Lineage
Rule entries
Data Quality
Centralization of business rule catalog, regardless of their physical location in the company
Monitoring and classification of data production chains within the governance model
Collection of results for unified display and use
Evaluation of data quality indicators and possibility to easily navigate thanks to a monitoring dashboard
The solution
Data Governance that constantly evolves
Capabilities
Governance model integrated with Data Quality
Orchestration & Automation
Metadata Driven Engine, Execution & Datastore
Transformation & Rule Engine
Adaptive Data Repository
Dashboarding & Reporting
Results achieved
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
The challenges
Centralization, change, progress improvement
Centralization
One solution to implement the Data Governance and Data Quality initiatives.
Defining special KQIs to monitor the adoption of Data Governance project initiatives and their effectiveness.
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.
Download the Whitepaper
Read the white paper by the Big Data & Business Analytics Observatory of the School of Management Politecnico di Milano:
Modern Data Governance in Risk Management
Among the subjects considered:
Implementing the Irion solution to comply with the banking regulation Fundamental Review of the trading book
Getting ready for the new regulation
Improved Analysis and Data Governance
Data Quality and Data Reconciliation
What are you waiting for?
REQUEST DEMO!
Organize and understand your data with a framework that the industry leaders already use. Keep up with the changes as the data volumes and variety increase. Discover the hidden connections between your data!
What are you waiting for?
REQUEST A DEMO!
Organize and understand your data as you choose a guiding framework that the industry leaders successfully use. Keep up with the changes as the data increase in volumes and variety. Discover the hidden connections between your data!
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