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Features Analysis for Collibra    
The Hub at the centre of the wheel is the target of MDM

  Features Analysis for Collibra
 
Framework

The diagram on the left shows our six Stages in our Framework for Data Management.
This page takes a closer look at the requirements for software support and what some suppliers have to offer.

For this analysis the four Stages of interest are :-
  • Data Governance
  • Data Integration
  • Data Sources
  • Information Catalogue

    The process can be summarised in the following terms :-
  • Step 1. Identify the Data Sources and store details in the Information Catalogue.
  • Step 2. Identify the Data Targets.
       This will involve storing details in the Information Catalogue and creating a Generic Target Data Model.
  • Step 3. Define the validation, clean-up and transformation from Data Sources to Data Targets.

    The table below shows how Collibra meets the requirements defined by the Generic Features.

  •   Here is a detailed look at the features.
     

    Analysis of Features provided by Suppliers
     
    STAGE GENERIC FEATURES COLLIBRA
    Data Governance User roles, responsibilities and permissions help Governance Business Semantics Glossary
    Data Governance Generate Data Governance Services at runtime Business Semantics Enabler
    Data Integration Specifications for Mapping between Sources and Targets Business Semantics Studio
    Data Integration Rules for Data Validation, Clean-up and Transformation Business Semantics Studio
    Data Integration Data Models for Sources and Targets Technical Data Models ???
    Data Sources Inventory of Systems, Owners, Databases, Tables and so on  
    Information Catalogue Record all details - Glossary of Terms, Data Sources, Mappings and so on Business Semantics Glossary
    Other Compliant with OMG standards, including BPMN, SBVR, UML and XML.  
     

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