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Graph based Data Governance & Data Lineage

  |   Blog

Data Governance, Data impact analysis and Data Lineage requirements are becoming ever more complex thanks to growing volumes of data, new types of data (such as Open Data) and new regulations. Traditionally relational technologies, ETL components and integration stacks have struggled to document full end to end lineage and dependencies in a timely and scalable manner.


This has led us to develop a new approach to understanding our customers’ data lineage and data governance landscapes using leading graph technologies such as Neo4j 


Whilst there are no magic bullets we have made significant progress in modelling and understanding complex data lineage requirements and empirically identifying key components such as the most widely used Critical Data Elements (CDEs).


If you are a complex organisation struggling with implementing Data Governance and understanding your Data Lineage please contact us for more information.