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Ataccama brings AI to data lineage- Business users can now trace a data point’s origin and understand how it was profiled or flagged without relying on IT

July 21, 2025 //  by Finnovate

Ataccama has released Ataccama ONE v16.2, the latest version of its unified data trust platform. This release makes it easier for business users to understand how data moves and changes across systems without writing a single line of SQL. With intuitive, compact lineage views and improved performance, teams can make better decisions with greater confidence and speed. Business users can now trace a data point’s origin and understand how it was profiled or flagged without relying on IT. Ataccama shows how data flows through systems and provides plain-language descriptions of the steps behind every number. For example, in a financial services setting, a data steward can immediately see how a risk score was derived or how a flagged transaction passed through a series of enrichment and quality checks. That kind of visibility shortens reviews, streamlines audits, and gives business teams the confidence to act on the data in front of them. Key features include: AI-powered data lineage. Automatically generates readable descriptions of how data was transformed both upstream and downstream, clarifying filters, joins, and calculations, so business users can understand the logic behind each dataset without reading SQL. Compact lineage diagrams. Presents a simplified, high-level view of data flows with the option to drill into details on demand. This makes it easier to identify issues, answer audit questions, and align stakeholders on how data flows through the organization. Edge processing for secure lineage. Enables metadata extraction from on-prem or restricted environments without moving sensitive data to the cloud. Organizations can maintain compliance, minimize risk, and still get full visibility into their data pipelines, regardless of where the data lives. Expanded pushdown support and performance enhancements. Users can now execute profiling and data quality workloads in pushdown mode for BigQuery and Azure Synapse, minimizing data movement and improving performance for large-scale workloads. The release also includes volume support for Databricks Unity Catalog, further optimizing execution within modern cloud platforms. 

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Category: Data Economy & Privacy, Innovation Topics

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