Ataccama named Leader in Forrester Wave for data quality

Ataccama has been named a Leader in The Forrester Wave: Data Quality Solutions, 2026, and it received the highest Strategy score among the vendors assessed.

Forrester described the company as a strong fit for enterprises that want to move faster on AI initiatives. It cited demand for cloud-first data quality software with automation and observability.

The report gave Ataccama the highest possible score in five criteria within the Strategy category. Those criteria included Vision, Innovation, and Roadmap.

The report said: "Ataccama's strategy is anchored in delivering an end-to-end platform under a single architecture. Its innovations reflect the vendor's strengths in embedding AI and agentic capabilities for automation and self-service... Its roadmap is highly robust, with continued investment in AI copilots and expanded support for unstructured data."

Data trust focus

Ataccama positions its software as a layer between enterprise data and AI applications. It frames that layer as a way to manage data quality in systems that move from experimentation to production deployments.

The company argues that AI programmes face constraints that sit outside model design. It points to the availability of trusted data as a key factor in how quickly teams can move into live systems.

Jessica Smith, VP of Data Quality at Ataccama, said organisations now need more than monitoring and alerts.

"The era of passive data monitoring is long gone. Knowing you have a data problem is not enough; you must be able to improve data in real time to ensure it is trusted and fit for purpose," said Jessica Smith, VP of Data Quality at Ataccama.

"Ataccama is the only data trust platform that closes the loop between detection and remediation, turning data from a potential liability into a verified asset for enterprise AI," said Smith.

One platform

Ataccama said its platform combines data quality, observability, lineage, and governance in a single product. The company said the software gives teams visibility into data issues and their downstream impact.

The company also highlighted a software component called Ataccama ONE AI Agent. It said the agent automates data quality rule creation and remediation steps. It also said users can use it for rule enforcement, detection, and remediation workflows.

Ataccama said customers can reduce the time between data discovery and AI deployment by up to 83% by using those automated functions.

Unstructured data

Ataccama also outlined work related to unstructured data. It said its platform uses Snowflake to preprocess unstructured data such as documents and logs. It said this approach supports governance and AI-readiness for those data types.

The company also said its platform uses semantic intelligence. It described this as an ability to understand the meaning of data and check it against policy requirements. It linked that work to regulatory risk.

Ataccama said it aims to move beyond alerting by automating root-cause resolution. It said this reduces reliance on manual data clean-up work.

The Forrester report repeated its assessment of Ataccama's strategy and roadmap. It said: "Ataccama's strategy is anchored in delivering an end-to-end platform under a single architecture... Its roadmap is highly robust, with continued investment in AI copilots and expanded support for unstructured data."