Enterprise Data Quality
Continuous delivery, performance e compliance
New control facilities and extremely short processing times, with an easy-to-use frontend
Monica Ripoldi
Head of Data Quality
Customer since
2019
Requirements
A multi-field, metadata driven, user oriented system
Enterprise Data Quality
A single Data Quality system to manage the needs of multiple offices, processes and business functions
A multi legal entity system
Management of inputs common to multiple areas
A multi legal entity system
Management of inputs common to multiple areas
Continuous Delivery
Multiple control streams parallel configuration
Input data incremental integration
Data sets and controls quick and low-impact changes
Input data incremental integration
Data sets and controls quick and low-impact changes
Regulatory Compliance
Dashboard availability for analysis of input data, process and results
Versioning/audit input, controls and results
Centralized control dictionary
Versioning/audit input, controls and results
Centralized control dictionary
Solution
A system that meets Data Governance policy guidelines
Capabilities
Some of the Irion EDM features used: Metadata Driven Datastore Definition Metadata Driven Data Validation Rule User Lab Automatic Rule Documentation
Results obtained
Continuous improvement path and relationship between those who produce, consume, govern and manage data
Global and dynamic view of data quality linked to Dataflow
Correct control balancing and coverage performed at different levels by different users
Measurement and analysis culture, both retrospective and proactive
Less risk, greater awareness, greater compliance
Times extremely reduced (three months) for the production of controls for each area
A strong but contained supervision
Huge and heterogeneous data landscape
Priority and cost-benefit based approach
Global and dynamic view of data quality linked to Dataflow
Correct control balancing and coverage performed at different levels by different users
Measurement and analysis culture, both retrospective and proactive
Less risk, greater awareness, greater compliance
Times extremely reduced (three months) for the production of controls for each area
A strong but contained supervision
Huge and heterogeneous data landscape
Priority and cost-benefit based approach
Challenges
Continuous delivery, performance e compliance
Areas
Client Master Data
IFRS9
Liquidity
Interest Rate Risk
IFRS9
Liquidity
Interest Rate Risk
Time to Solution
Go live in 3 months for each area
Driver
130 input files
632 business controls of which approx.
140 on rolling data
4600 automatically defined technical checks
15 billion technical checks performed
250 GB monthly data processedA system that meets Data Governance policy guidelinesContinuous delivery, performance e complianceEnterprise Data QualityThe experience describes how to implement a performant, multiagency Data Quality framework at the Enterprise level to meet operational and compliance purposes.
The Solution incorporates the principles of Data Governance by Design.
632 business controls of which approx.
140 on rolling data
4600 automatically defined technical checks
15 billion technical checks performed
250 GB monthly data processedA system that meets Data Governance policy guidelinesContinuous delivery, performance e complianceEnterprise Data QualityThe experience describes how to implement a performant, multiagency Data Quality framework at the Enterprise level to meet operational and compliance purposes.
The Solution incorporates the principles of Data Governance by Design.
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