Agentic reference data
management built to scale

Ataccama Reference Data is the AI-powered, cloud-native solution that enables you to manage,
validate, and deliver trusted reference data securely, across systems.

See it in action

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Trusted globally by high-growth companies

Start looking at reference
data as a business asset,
not just an IT burden.

No spreadsheets, no silos. Just an intuitive, AI-first solution
designed to build lasting trust in your data, for every decision.

Turn local projects into company-wide,
value adding business initiatives

Maintain trust in all reference data
assets with AI generated rules,
in a self-service platform

Allow non-technical users to create reusable data quality rules in seconds, from plain language, by simply describing what quality checks to enforce. Simplify data integration and reduce operational risks by ensuring the adoption of data quality standards across systems.

Transform data with confidence
and ensure accuracy for zero stress
regulatory reporting

Automate complex transformations with AI-enabled recommendations to quickly reshape, clean, and standardize data. Enhance the reliability of compliance reports and mitigate the risk of compliance fines for regulatory filings with consistent and traceable data.

Reduce overhead and optimize
operational efficiency with AI-driven,
intuitive bulk edits

Automatically execute bulk edits and apply suggestions across records, to significantly reduce manual workload. Streamline validation processes and enable self-service workflows upfront. Enable your teams to better prioritize what key data stewardships tasks to focus on next.

Stronger data initiatives
with improved business outcomes

Average of $2.9M

in ROI from simplified data
management processes

Average of $1.3M

Reduced risk of poor data
manangement

Up to 348%

Return on Investment (ROI)
in the first 3 years

Under 12 mo

Payback

Self-service reference data management
for business users, made possible with AI

Transform reference data management from a cumbersome, IT-driven task
into an intuitive, agile process that is accessible to data business users.

Import

Streamline and accelerate the onboarding of reference data. Significantly reduce manual effort and complexity for initial and ongoing data integration processes.

Drag-and-drop uploads

Simplifies data ingestion from diverse sources through easy Excel or CSV uploads.
Flexible connectivity

Seamlessly leverages built-in platform capabilities to import data from data warehouses, data lakes, and more, facilitating comprehensive data ingestion..
Data transformations

Speed up data preparation with AI-powered transformations to reshape, clean, and standardize data.

Model and relate

Enhance clarity, ease of use, and flexibility in managing and interacting with intricate reference data structures. Enable users with comprehensive data oversight.

Intuitive schema editing

Facilitates straightforward creation, modification, and management of data structures, reducing dependency on technical expertise.
Relationship management

Provides advanced capabilities for defining and managing relationships, ensuring accurate data linkages and integrity across datasets.
Hierarchy builder

Supports complex multilevel structures, enabling clear representation and easy management of hierarchical relationships.

Manage and validate

Proactively reduce errors and manual effort associated with data validation and enrichment tasks. Consistently leverage reliable, high-quality reference data.

Built-in data quality validation

Ensures validation of reference data for accuracy, completeness, and consistency via reusable rule library reducing manual errors.
Excel-like inline editing

Make quick, in-context changes (review, edit and validate), directly in the interface, and streamline stewardship and reviewing of data.
Record-level tracking

Maintain a detailed history of all record-level changes to ensure full transparency, compliance, and audit readiness.

Govern and publish

Provide trusted and authoritative reference data across enterprise systems. Leverage efficient data publication processes for transparent, structured data governance.

Role-based access & sharing

Collaborate securely with fine-grained control over who can view, edit, or manage data.
Approval process

Task-based approval workflows for record changes which helps to ensure every update is reviewed by the right people before it goes live.
Integration and distribution

Provision data to external systems via synchronization, flexible APIs, or audited file exports to ensure timely and consistent distribution of authoritative reference data.

Ataccama Reference Data stands
out from other solutions because

It’s part of the
Agentic data trust
platform

Industry-leading data quality capabilities and ONE AI agent, natively integrated with reference data management capabilities.

It offers an AI-first,
intuitive user
experience

Self-service workflows embedded with AI capabilities, and leveraging innovative data modelling to minimize human errors.

It’s built with
cloud-native
flexibility in mind

Faster deployment and lower overhead without downtime by leveraging elastic cloud architecture that scales dynamically.

Trusted by users and analysts alike

One solution with one interface for 3 interoperable modules for reference data management, master data manatement and for data quality.

John Reimers Master data program manager, Marti Group
If we can’t trust our customer data, we are not able to do any growth initiatives and communicate effectively with our clients.

Chantale Boulanger Director, Industrial Alliance
Bringing business and IT teams together to create a digital factory of trusted data.

Piotr Pietrzyk Head of Data Governance, Avon
Scaling data management initiatives across the organization, unlocking further growth and innovation.

Michelle Sklar IT Governance Principal, Fifth Third Bank