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SOLUTIONS > DATA GOVERNANCE HUB  

Data Office

Data Governance

By design 

Data Office

Data Governance

By design 

Needs

Needs
Build a centralized data-ecosystem for the client  

Enterprise Data Quality

  Design one or more effective and service oriented semantic models

  Build a bridge between Business and IT

  Have an easily extendable model

Integration

  Have a live and active model, integrated with the different systems

  Manage different updating modes

  Render data collected and normalized available through different channels

Navigation

  Being able to navigate relationships and entities graphically

  Segment visibility by user type

  Automatically extract documentation

Challenges

Challenges
Data Quality & Centralization

From a few dozen to hundreds of Entity Types and Link Types, with hundreds of attributes

Various Data Sources

(IRION, SAS, ServiceNow, Cloudera, Oracle, Remedy, Tibco, …)

Millions of Entities e Links

Dozens of concurrent users

From a few dozen to hundreds of Entity Types and Link Types, with hundreds of attributes

Various Data Sources

(IRION, SAS, ServiceNow, Cloudera, Oracle, Remedy,
Tibco, …)

Millions of Entities e Links

Dozens of concurrent users

La soluzione

The solution 
A governance and management system of data quality for the customer

 

Capabilities

Some of the features of Irion EDM:

 Active Solution Modeling (MODELLING)

  Collaborative Change Management (MODELLING)

  Dynamic DataApp API (INTEGRATION)

  Delta or Snapshot Data Upload Manager (INTEGRATION)

  Navigation  Maps (NAVIGATION)

  Data Authorization & Segregation (NAVIGATION)

Results obtained

  Integrated Customer Vision 

  Strong integration of data management and data governance process 

Client testimonials

banca-popolare-sondrio
Interview: Andrea Bandera
Banca Popolare di Sondrio

Head of Data Governance Unit

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

Among the topics addressed: 

Data Governance, Data Quality, Data Lineage, Data Discovery

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