Agentic data quality management platform

Complete data quality management workflows up to 9x faster with Agentic AI that executes them end to end and deliver trusted, compliant, AI-ready data at scale with unmatched efficiency.

Drive business outcomes with trusted data

Mitigate regulatory and security risks

Achieve complete, audit-ready trusted enterprise data to mitigate penalty risks. Ensure compliance with key industry regulations such as Basel, Solvency, and the Dodd-Frank Act.

Make your data AI-ready

Go beyond basic data checks — actively improve data quality. Trusted, high-quality data fuels accurate AI models, reliable analytics, and confident business decisions.

Reduce costs and improve efficiency

Cut down manual work and repetitive fixes with AI-driven automation. Increase data team efficiency by up to 50% while lowering operational costs.

Improve customer lifetime value

Deliver clean, trusted customer data for campaigns, reports, and apps that drive personalized experiences. Keep customers engaged, satisfied, and coming back.

Grow market share & drive revenue

Move faster with accurate, clean, reliable data. Improve forecasting, refine pricing strategies, and accelerate product innovation to increase revenue.

End-to-end data quality management for trusted enterprise data

We’re the only data quality platform that lets you manage data quality end to end, keeping your data trusted, reliable, and ready for business use.

Explore and understand your data

Get clear insights from day one, right out of the box. Understand your data at enterprise scale with automated profiling, alerts, and lineage. Data Trust Index Understand the trust level of your datasets with the Data Trust Index. This single metric combines insights on data quality, ownership, context, and usage, helping you identify which datasets you can truly rely on and which need improvement. Data profiling Our data quality platform profiles datasets, detecting patterns and distributions to help you spot issues and create precise data quality rules. Data quality & observability alerts Get notified about the issues in your pipelines and datasets in one unified view. See what needs attention, understand the impact, and focus on what matters most. Augmented data lineage Explore lineage with built-in data quality insights and business context to understand your data from source to consumption. Assess the impact of changes, identify root causes, and resolve issues faster.

Define and monitor enterprise data quality

Setting up your data quality management is easier and faster than ever with Agentic AI. Automate everything from rule creation to monitoring, and stay ahead of data quality issues with instant alerts and insights. AI that gets it done Meet ONE AI Agent, your new coworker. Set a goal and it handles the work end to end, accelerating bulk tasks like rule creation and applying them across dozens of datasets in a fraction of the time. AI-powered rule creation Write a prompt in plain language and ONE AI generates rules and test data for you. Build simple or complex rules using reference data or external APIs. Data quality monitoring & reporting Monitor data quality across datasets, view reports in the platform, or integrate metrics with Tableau and Power BI. Data observability Monitor data health at scale. Get alerts on schema changes, anomalies, and quality issues in dashboards, Teams, Slack, or email to act proactively.

Improve data quality at scale

Once you’ve assessed data quality and identified issues, automate remediation with no-code transformation plans that cleanse and standardize data at scale. Deliver clean data that’s ready for reporting, analytics, and AI. Automated standardization & cleansing Standardize values, like country codes, phone numbers, and SKUs, and fix common cleansing issues. AI-assisted transformation plans Create transformation plans across multiple data sources using natural language and a visual editor. Build reusable workflows, preview and debug transformations with AI assistance, and publish improved, trusted data. Data remediation Ataccama automatically identifies and delivers a clear list of data issues. Users can analyze, prioritize, and share issues with data providers or owners, driving faster resolution and continuous improvement in data quality.

Prevent data quality issues before they spread

Define rules once and apply them everywhere. Ataccama ONE empowers business and governance teams to create data quality rules that data engineers can apply directly in apps and pipelines to catch bad data early.  Centralized reusable rules library Ataccama ONE acts as the single source of truth for governed, business-defined rules, enabling consistent reuse across your data landscape. It detects similar rules, prevents duplicates, and streamlines versioning and approvals. Embedded rules in data pipelines Embed data quality checks directly into pipelines, validating data natively. Expose business rules as native Snowflake functions for integration with dbt. Data validation in source systems Validate data at the point of entry using REST or GraphQL APIs to ensure only data that meets defined requirements enters your systems.

The leading data quality solution built for scale, speed and data trust

AI-powered automation

Leverage ONE AI to create, test, and deploy data quality rules. Designed for scale and productivity, our AI agent runs entire end-to-end workflows autonomously, saving hours of manual effort.

End-to-end data quality management

Go beyond data quality monitoring with automated validation, cleansing, and remediation to actively improve and maintain trusted data across all critical data elements.

Reusable rules for all your systems

Create data quality rules once and reuse them at enterprise scale across multi-cloud or hybrid environments, systems and pipelines. Ensure high performance and security with edge or pushdown processing.

Part of the unified platform

Ataccama ONE unifies data quality, observability, lineage, cataloging, and reference data in a single platform. Natively integrated, enterprise-ready, and built for data quality at scale.