Latest news with #AtaccamaONE
Techday NZ
18-07-2025
- Business
- Techday NZ
Ataccama ONE v16.2 uses AI to simplify data lineage for business
Ataccama has announced the release of Ataccama ONE v16.2, which brings new AI-driven features to data lineage with the aim of supporting business users in understanding, auditing, and trusting their data. The company stated that the new version addresses long-standing challenges in enterprise data governance, particularly the trust gap between business teams and IT departments. By providing compact, plain-language lineage views and secure on-premises metadata extraction, Ataccama targets the need for transparency in complex data environments. Expanded pushdown profiling capabilities are also included to provide more comprehensive data quality insights. One key issue identified by Ataccama is the limited ability for business users to visualise data origins and transformations without specialist support. The reliance on IT to explain data logic is seen as a barrier to efficient decision-making and increases risk. Recent research from Forrester highlights that only 20% of business decision-makers are currently self-sufficient with analytics tools, suggesting widespread challenges with data access and understanding across industries. The new features aim to close this trust gap by converting complex data workflows into accessible, plain-language descriptions. Business users will be able to track a data point's origin and understand profiling or quality checks independently of technical teams. In real-world settings such as financial services, a data steward can see how a risk score is calculated or how a transaction passes through quality controls, facilitating shorter audits and faster decision-making. "We're seeing enterprise data projects increasingly kick off in the business, not just in IT, and that changes everything," said Jessica Smith, VP of Data Quality at Ataccama. "The teams driving these initiatives need to understand where the data comes from, how it's changed, and whether it can be trusted. That's why we've focused on making complex data processes, like profiling, quality checks, and lineage, clear and usable to everyone. Because if data is going to scale across the business, it has to work for the people who are using it." The company describes several core updates in the v16.2 release. The AI-powered data lineage feature automatically generates readable descriptions showing how data is transformed both upstream and downstream, including filters, joins, and calculations. This makes it possible for business users to see the logic behind datasets without needing to interpret SQL queries. The compact lineage diagrams provide simplified, high-level views of data flows, with the option to explore detailed steps as needed. This feature is designed to help teams identify issues, respond to audit requests, and align stakeholders on data processing practices across the organisation. Edge processing for secure lineage is another new capability, enabling companies to extract metadata from on-premises or restricted environments without transferring sensitive data to the cloud. Ataccama states that this functionality helps organisations to maintain compliance, reduce risk, and maintain full visibility into their data pipelines, regardless of their infrastructure. The update also expands pushdown support and performance for data profiling and quality workloads. Users can now run these tasks in pushdown mode for platforms such as BigQuery and Azure Synapse, minimising data movement and enhancing performance for larger workloads. In addition, volume support for Databricks Unity Catalogue has been introduced to further optimise execution on modern cloud platforms. According to Ataccama, the new version of its data trust platform is intended to strengthen daily data governance while underpinning more scalable and compliant AI and analytics initiatives. The company positions its integrated approach as key to enabling businesses to unlock the value of their data for operational, analytical, and AI-driven purposes.
Techday NZ
04-06-2025
- Business
- Techday NZ
Ataccama ONE brings document AI to Snowflake for better data
Ataccama has announced the integration of its unified data trust platform, Ataccama ONE, with Document AI on the Snowflake Marketplace, allowing businesses to transform unstructured content into structured data for analytics and artificial intelligence applications. The announcement from Ataccama enables enterprises to extract, structure, govern, and monitor the quality of unstructured data, making a greater proportion of their information usable for analytics, AI, and business operations. With the majority of enterprise information now classed as unstructured data and continuing to grow rapidly, many organisations struggle to manage this resource effectively. Industry research from IDC indicates that unstructured data accounts for most enterprise data and is expanding by more than 55% annually. According to market findings, 95% of businesses face difficulties in managing their unstructured data, with over half citing it as the most challenging type of information to govern. Unstructured data frequently remains siloed and difficult to leverage, creating operational risk and impacting the reliability of AI systems as these systems increasingly rely on such data for powering large language models and retrieval-augmented generation applications. Through the integration of Ataccama ONE and Document AI within the Snowflake environment, enterprises can convert documents such as contracts, invoices, and PDFs into structured records. Natural language prompts—such as, "What is the effective date of the contract?"—are processed by the Arctic-TILT large language model developed by Snowflake, generating structured outputs stored directly in Snowflake tables. Ataccama ONE then connects to the resulting data tables to profile the data, perform quality checks, and manage governance policies on the structured outputs. The system also allows companies to follow the data through analytics, reporting, and AI workflows by capturing lineage at the table level. Additional metadata can be added from the original documents to increase traceability where required. This process aims to reduce manual intervention, build trust in the data, and enable repeatable workflows for business teams. Speaking to the importance of unlocking value from unstructured data, Sam Wong, Senior Director of Data & AI at a global beverage company, said: "Unstructured data is an untapped data source as real business context lives there, but it's also the hardest to govern. Documents, contracts, and communications contain the terms, conditions, and risks that structured systems miss. Without a way to extract, validate, and manage that information at scale, AI lacks the foundation it needs to be reliable. With Ataccama ONE and Document AI inside Snowflake, organizations can turn thousands of documents into trusted, structured data. That will give us improved analytics, enhanced data quality, and a better foundation for powerful and trustworthy AI." This integration offers several capabilities for users. Companies can extract structured data from documents using natural language, specifying prompts such as "What is the payment term?" to convert unstructured information into structured outputs without the need for custom code. The extracted data is immediately available for use in reporting, analytics, and AI activities, as it is saved directly into Snowflake tables, ready for consumption by business intelligence tools and model pipelines without further transformation. Ataccama ONE provides automated profiling and rule-based validation to monitor the quality of unstructured data on a continual basis, assisting teams in detecting inconsistencies and managing risks early. Document AI models can be trained and reused within Snowsight, allowing for standardised extraction across various document types at scale, including contracts, invoices, and policies. All processes, validation, and governance are performed natively in Snowflake, reducing integration complexity and improving security. Jay Limburn, Chief Product Officer at Ataccama, said: "Unstructured data remains a black box for most organizations, even as it becomes critical for AI and business operations. Without a way to structure, govern, and trust that information, enterprises risk missing the full value of their data. Ataccama ONE combines data quality, governance, observability, lineage, and master data management in a single platform and now extends those capabilities to unstructured content. This allows organizations to improve trust and confidence in all their data, structured and unstructured alike, and build a stronger foundation for AI, analytics, and operational decision-making." Kieran Kennedy, Vice President, Data Cloud Products at Snowflake, said: "Ataccama's presence on Snowflake Marketplace reinforces the value of our integrated platform approach that allows our partners to bring their innovative solutions to market within the Snowflake environment. With this solution, joint customers have the power to streamline document extraction, ensure data quality, and accelerate insight delivery, all within a governed and scalable environment."
Yahoo
03-06-2025
- Business
- Yahoo
Ataccama ONE available on Snowflake Marketplace, integrates Document AI
Organizations can extract, structure, govern, and monitor the quality of unstructured data at scale to make more of their information usable for trusted analytics, AI, and business innovation BOSTON, June 03, 2025 (GLOBE NEWSWIRE) -- Ataccama, the data trust company, today announced at Snowflake's annual user conference, Snowflake Summit 2025, the availability of its unified data trust platform, Ataccama ONE, on Snowflake Marketplace. The launch includes an integration with Document AI, enabling enterprises to turn unstructured content, such as contracts, invoices, and PDFs, into structured data by running models directly within Snowflake. According to IDC, unstructured data now makes up the majority of enterprise information and is growing by over 55% each year. Yet much of it remains siloed, unmanaged, and difficult to operationalize. 95% of businesses struggle to manage their unstructured data, and more than half report it as the most difficult type of information to govern. Most organizations still do not know what is hidden within their unstructured data. This blind spot creates operational risk and undermines the value of AI. As enterprises increasingly use unstructured data to power large language models and retrieval-augmented generation (RAG) applications, managing the quality of that data has become critical to building trusted and reliable AI. Ataccama ONE and Document AI allow organizations to unlock value from unstructured information. Enterprises can turn documents into structured records by using natural language prompts, such as 'What is the effective date of the contract?', which are processed by Snowflake's Arctic-TILT large language model to create structured outputs written directly into Snowflake tables. Ataccama ONE connects to these tables to profile the data, apply quality checks, and manage governance policies on the structured outputs. It also tracks how the data flows into analytics, reporting, and AI workflows by capturing lineage at the table level. Additional metadata about the original documents can be added to enrich traceability if needed. This reduces manual work, strengthens trust in the data, and enables repeatable, reliable workflows across the business. 'Unstructured data is an untapped data source as real business context lives there, but it's also the hardest to govern,' said Sam Wong, Senior Director of Data & AI of a global beverage company. 'Documents, contracts, and communications contain the terms, conditions, and risks that structured systems miss. Without a way to extract, validate, and manage that information at scale, AI lacks the foundation it needs to be reliable. With Ataccama ONE and Document AI inside Snowflake, organizations can turn thousands of documents into trusted, structured data. That will give us improved analytics, enhanced data quality, and a better foundation for powerful and trustworthy AI.' 'Unstructured data remains a black box for most organizations, even as it becomes critical for AI and business operations,' said Jay Limburn, Chief Product Officer at Ataccama. 'Without a way to structure, govern, and trust that information, enterprises risk missing the full value of their data. Ataccama ONE combines data quality, governance, observability, lineage, and master data management in a single platform and now extends those capabilities to unstructured content. This allows organizations to improve trust and confidence in all their data, structured and unstructured alike, and build a stronger foundation for AI, analytics, and operational decision-making.' The integration allows users to: Extract structured data using natural language. Teams can specify the information they want to pull, such as 'What is the payment term?', and quickly transform unstructured documents into structured outputs without custom coding. Make extracted data immediately usable for reporting, analytics, and AI. Outputs are written directly to Snowflake tables and are ready for use across BI tools, operational dashboards, and AI model pipelines without requiring additional transformation. Continuously monitor the quality of unstructured data. Ataccama ONE applies automated profiling and rule-based validation to ensure extracted fields meet enterprise standards, helping teams detect inconsistencies and manage risk early. Scale and standardize document processing across teams. Document AI models can be trained and reused in Snowsight, enabling consistent extraction across contracts, invoices, policies, and other document types at scale. Eliminate data movement and simplify governance. All processing, validation, and governance workflows run natively within Snowflake, reducing integration complexity, improving security, and accelerating time to value. 'Ataccama's presence on Snowflake Marketplace reinforces the value of our integrated platform approach that allows our partners to bring their innovative solutions to market within the Snowflake environment,' said Kieran Kennedy, VP, Data Cloud Products at Snowflake. 'With this solution, joint customers have the power to streamline document extraction, ensure data quality, and accelerate insight delivery, all within a governed and scalable environment.' Read the blog 'From black box to business asset: Solving the unstructured data challenge with Ataccama and Snowflake Document AI.' About Ataccama Ataccama is the data trust company. Organizations worldwide rely on Ataccama ONE, the unified data trust platform, to ensure data is accurate, accessible, and actionable. By integrating data quality, lineage, observability, governance, and master data management into a single solution, Ataccama enables businesses to unlock value from their data for AI, analytics, and operations. Trusted by hundreds of global enterprises, Ataccama helps organizations drive innovation, reduce costs, and mitigate risk. Recognized as a Leader in the 2025 Gartner Magic Quadrant for Augmented Data Quality and the 2025 Magic Quadrant for Data and Analytics Governance, Ataccama continues to set the standard for trusted data at scale. Learn more at Media contact press@ in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
03-06-2025
- Business
- Yahoo
Ataccama ONE available on Snowflake Marketplace, integrates Document AI
Organizations can extract, structure, govern, and monitor the quality of unstructured data at scale to make more of their information usable for trusted analytics, AI, and business innovation BOSTON, June 03, 2025 (GLOBE NEWSWIRE) -- Ataccama, the data trust company, today announced at Snowflake's annual user conference, Snowflake Summit 2025, the availability of its unified data trust platform, Ataccama ONE, on Snowflake Marketplace. The launch includes an integration with Document AI, enabling enterprises to turn unstructured content, such as contracts, invoices, and PDFs, into structured data by running models directly within Snowflake. According to IDC, unstructured data now makes up the majority of enterprise information and is growing by over 55% each year. Yet much of it remains siloed, unmanaged, and difficult to operationalize. 95% of businesses struggle to manage their unstructured data, and more than half report it as the most difficult type of information to govern. Most organizations still do not know what is hidden within their unstructured data. This blind spot creates operational risk and undermines the value of AI. As enterprises increasingly use unstructured data to power large language models and retrieval-augmented generation (RAG) applications, managing the quality of that data has become critical to building trusted and reliable AI. Ataccama ONE and Document AI allow organizations to unlock value from unstructured information. Enterprises can turn documents into structured records by using natural language prompts, such as 'What is the effective date of the contract?', which are processed by Snowflake's Arctic-TILT large language model to create structured outputs written directly into Snowflake tables. Ataccama ONE connects to these tables to profile the data, apply quality checks, and manage governance policies on the structured outputs. It also tracks how the data flows into analytics, reporting, and AI workflows by capturing lineage at the table level. Additional metadata about the original documents can be added to enrich traceability if needed. This reduces manual work, strengthens trust in the data, and enables repeatable, reliable workflows across the business. 'Unstructured data is an untapped data source as real business context lives there, but it's also the hardest to govern,' said Sam Wong, Senior Director of Data & AI of a global beverage company. 'Documents, contracts, and communications contain the terms, conditions, and risks that structured systems miss. Without a way to extract, validate, and manage that information at scale, AI lacks the foundation it needs to be reliable. With Ataccama ONE and Document AI inside Snowflake, organizations can turn thousands of documents into trusted, structured data. That will give us improved analytics, enhanced data quality, and a better foundation for powerful and trustworthy AI.' 'Unstructured data remains a black box for most organizations, even as it becomes critical for AI and business operations,' said Jay Limburn, Chief Product Officer at Ataccama. 'Without a way to structure, govern, and trust that information, enterprises risk missing the full value of their data. Ataccama ONE combines data quality, governance, observability, lineage, and master data management in a single platform and now extends those capabilities to unstructured content. This allows organizations to improve trust and confidence in all their data, structured and unstructured alike, and build a stronger foundation for AI, analytics, and operational decision-making.' The integration allows users to: Extract structured data using natural language. Teams can specify the information they want to pull, such as 'What is the payment term?', and quickly transform unstructured documents into structured outputs without custom coding. Make extracted data immediately usable for reporting, analytics, and AI. Outputs are written directly to Snowflake tables and are ready for use across BI tools, operational dashboards, and AI model pipelines without requiring additional transformation. Continuously monitor the quality of unstructured data. Ataccama ONE applies automated profiling and rule-based validation to ensure extracted fields meet enterprise standards, helping teams detect inconsistencies and manage risk early. Scale and standardize document processing across teams. Document AI models can be trained and reused in Snowsight, enabling consistent extraction across contracts, invoices, policies, and other document types at scale. Eliminate data movement and simplify governance. All processing, validation, and governance workflows run natively within Snowflake, reducing integration complexity, improving security, and accelerating time to value. 'Ataccama's presence on Snowflake Marketplace reinforces the value of our integrated platform approach that allows our partners to bring their innovative solutions to market within the Snowflake environment,' said Kieran Kennedy, VP, Data Cloud Products at Snowflake. 'With this solution, joint customers have the power to streamline document extraction, ensure data quality, and accelerate insight delivery, all within a governed and scalable environment.' Read the blog 'From black box to business asset: Solving the unstructured data challenge with Ataccama and Snowflake Document AI.' About Ataccama Ataccama is the data trust company. Organizations worldwide rely on Ataccama ONE, the unified data trust platform, to ensure data is accurate, accessible, and actionable. By integrating data quality, lineage, observability, governance, and master data management into a single solution, Ataccama enables businesses to unlock value from their data for AI, analytics, and operations. Trusted by hundreds of global enterprises, Ataccama helps organizations drive innovation, reduce costs, and mitigate risk. Recognized as a Leader in the 2025 Gartner Magic Quadrant for Augmented Data Quality and the 2025 Magic Quadrant for Data and Analytics Governance, Ataccama continues to set the standard for trusted data at scale. Learn more at Media contact press@ while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
