The common consensus is that data lineage refers to the discipline of understanding how data flows through and across an enterprise. This must show:

• Where data comes from (the data source or origin)
• Where data goes (The data journey or targets) and
• How it is shaped, manipulated and adjusted along the way (Transformation)

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Data lineage is related to the data’s physical characteristics (metadata) and data quality (fitness for purpose along the data journey).

The multidimensional process makes for a plethora of use cases discussed in this +- 25 minute podcast with our partner, MANTA’s SVP of product, Ernie Ostic and shared via Enterprise Management 360

In this podcast, Ernie explores one of the biggest business use cases for data lineage – data governance – and explains how Chief Data Officers and their data teams can best harvest it to build trust in siloed data and achieve full regulatory compliance. He also discusses the impact that data lineage is having on DataOps, before deep diving into how data lineage is helping organisations to fast-track their cloud migration journeys. To end, Ernie gives context to MANTA’s slogan ‘Data Lineage Done Right’ and what it means to have ‘right’ data lineage.

Click on the image to listen to the podcast

Want to know more about what data data lineage is and why it is important?

Data lineage helps to enable self-service BI. Read our post to understand why self-service BI can accelerate analytics.