Data Lineage and 3D Data Lineage, What’s the Difference?

Franco PrimavesiDecember 7, 2020

Webinar: Without Data Lineage, it’s Not Really a Data Catalog—Achieving Data Visibility thru Data Lineage

Most important to any data strategy is data lineage. It provides an audit trail throughout the data’s lifecycle, tracking its movement from beginning to end while maintaining its integrity.

As information volumes grow, data lineage becomes increasingly important. Understanding lineage empowers users to verify the source of data and trust the information they’re using for decision-making and accountability.

Data lineage tools follow data from the source system to the target system and through different transformations and uses. But as information compounds, these tools, originally designed for the technical needs of IT departments, only provide a singular technical view of data lineage, bypassing the context that business users need.

The Downfalls of Common Lineage Tools

Depending on the user’s role in the organization, they want to uncover different information from their data’s lineage. Business users want to understand data’s business meaning, its usage, its source and how it impacts business processes. However, data lineage tools only outline lineage through location and technical meaning.

Companies built data lineage tools for the IT community. Consequently, the tools only capture lineage on a physical level, including schemas, tables, columns, procedures, transformation rules, etc. Understanding this information helps IT teams quickly uncover and resolve data quality issues, understand impact of changes and provide trustworthy information to business users.

Still, these tools don’t provide business context around data and how it helps to deliver value. In addition, relying on IT for data lineage analysis overwhelms the IT department. Magnifying the problem are multiple data sources multiplying at a rapid pace. Tracking lineage from five, 10 or more information sources might be easy, but what about from hundreds?

Instead, organizations must extend their lineage capabilities, leveraging automation to connect data to business processes, provide detailed business context around information and establish 3D data lineage.

Bringing 3D Data Lineage to Life

The relationship data has to internal systems, business processes and people is pivotal to uncovering business knowledge around enterprise data. Traditional data lineage tools fail to make the connection between information and how it transforms into value through business process execution. By discounting the link, users overlook operational use cases where data is the deciding factor in business process success.Companies need comprehensive, modern tools. For example, a data intelligence platform with automation capabilities. The platform can automatically visualize data’s lineage and connect enterprise data to business processes and operations. By identifying the relationships between data and process execution, the platform provides visual diagrams with extensive insight into business and data processes.

Extensive visual lineage diagrams allow organizations to establish a 3D view of data lineage. 3D data lineage also lets users understand how data affects the company’s underlying business processes. 3D data lineage, helps us identify the data assets that are blocking/affecting key business processes. Business users can further uncover detailed business knowledge and context around data.

3D data lineage delivers detailed information about data beyond data’s location and technical meaning. Unlike typical data lineage, 3D lineage supplies a tool to make more informed decisions and establish business process integrity, providing a complete view of the relationships information has to systems, processes and people.

Are you looking for information on 3D data lineage? Watch our webinar:

For additional resources on data lineage, check out this article from SD Times

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Webinar: Without Data Lineage, it’s Not Really a Data Catalog—Achieving Data Visibility thru Data Lineage