AI Integration Streamlines Data Lineage for Users, Boosting Trust in Business Data
In the realm of data governance, a significant challenge has long been the limited self-sufficiency of business decision-makers when it comes to analytics tools. However, a recent report by Forrester indicates that this could be set to change with the introduction of Ataccama ONE v16.2, a new version of Ataccama's unified data trust platform.
Ataccama ONE v16.2 is designed to help business users audit, trust, and act on their data more effectively. The platform offers a range of key capabilities that aim to simplify the complexities of data management, making it accessible for non-technical users.
One of the standout features is the AI-powered compact lineage views. These views present data lineage in simplified, high-level diagrams, allowing business users to easily understand and visualize how data flows across the organisation. By offering the option to drill down into details, users can identify issues and answer audit questions without needing technical expertise.
Another feature is the provision of plain-language data explanations. Complex data workflows and transformations are translated into accessible, easy-to-understand descriptions. This means that business users can trace a data point's origin and understand profiling or quality checks independently from IT support, thereby closing the trust gap between business and technical teams.
Ataccama ONE v16.2 also offers secure metadata extraction through edge processing. This allows metadata to be extracted securely from on-premises or restricted environments without transferring sensitive data to the cloud. This maintains compliance and minimises risk while providing full visibility into data pipelines regardless of data location.
The new version also includes expanded pushdown profiling and performance enhancements. This supports pushdown execution for data quality profiling in modern cloud platforms like BigQuery and Azure Synapse, minimising data movement and improving performance with large workloads. It also includes support for Databricks Unity Catalog to optimise processing.
In practical terms, data stewards in financial services, for example, can now quickly see how calculated metrics (like risk scores) are derived or how transactions pass through quality controls. This enables faster audits, shorter reviews, and more confident decision-making across business functions.
Ataccama ONE v16.2 empowers business users to independently audit data lineage, trust the data based on clear and secure metadata insights, and act decisively without heavy reliance on IT specialists. By addressing a major enterprise data governance challenge, Ataccama strengthens day-to-day governance and lays the groundwork for more scalable, compliant AI initiatives.
Jessica Smith, VP of Data Quality at Ataccama, stated that the increase in enterprise data projects initiated in the business changes everything. With Ataccama ONE v16.2, the complexities of data management are no longer a barrier to success for business users. Instead, they can focus on what matters most: making informed decisions based on trustworthy data.
[1] Ataccama press release, 2022. [2] Ataccama blog post, 2022. [3] Forrester report, 2022.
- The tech industry is abuzz with the release of Ataccama ONE v16.2, a platform that aims to democratize data management and analytics by providing non-technical users with simplified tools.
- One of the key features of this platform is its AI-powered compact lineage views, which present data lineage in easy-to-understand diagrams, making it easier for business users to navigate data flows.
- In addition, Ataccama ONE v16.2 offers secure metadata extraction through edge processing, ensuring compliance and minimal risk while providing full visibility into data pipelines.
- The platform also includes expanded pushdown profiling and performance enhancements, supporting data quality profiling in modern cloud platforms and optimizing processing for scalable, compliant AI initiatives.
- With Ataccama ONE v16.2, business users can now operate with increased independence, trusting their data based on clear metadata insights, and making faster, more informed decisions, marking a significant step forward in data-and-cloud-computing innovation.
