SOLUTIONS > ENTERPRISE DATA QUALITY

SOLUTIONS > ENTERPRISE DATA QUALITY

Data Office

Data Quality

In an Enterprise Perspective

Data Office

Data Quality

In an Enterprise Perspective

Needs

Needs
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

Continuous Delivery

   Multiple control streams parallel configuration

  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

Challenges

Challenges
Continuous delivery, performance e compliance

Areas

Client Master Data

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 processed

Areas

Client Master Data

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 processed

La soluzione

The solution
A system that meets Data Governance policy guidelines

Capabilities

Some of the features of Irion EDM:

  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

Client testimonials

Banco-BPM
Interview with Monica Ripoldi
Banco BPM

Head of Data Quality

Monica Ripoldi participated as a speaker at the Irion Innovation Day
2019 event,  held in Milan at the Cariplo Foundation.

Among the topics addressed: 

Data Quality, Regulatory Reporting, Data Governance.

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