Data Governance

What is
Data Governance

Data governance is a set of principles and processes
that ensure data availability, quality, and security within an organization.

The cost of missing
data governance

Overspending on data storage

When all data is treated equal is not classified by usage and its lifecycle, organizations end up spending more on storage than necessary.

Lack of data security

Not properly protected sensitive data can lead to fines and damaged reputation.

Inefficient operations and mistakes

Using ungoverned data for decision making often results in costly mistakes

Wasted time

With lack of data ownership and stewardship as well as automated data indexing, data people waste time looking for data.

Slow innovation

Untagged and unmapped data structures do not allow for digital transformation and infrastructure modernization projects.

Successful data governance program implementation requires clear ownership, responsibilities, and tools to analyze and prioritize initiatives.

Enable

Get started with your program and prioritize faster

Accurate matching depends on data quality.

Data Discovery and Classification

Ataccama ONE calculates data quality and classifies data in a data catalog to help you prioritize and focus: one data domain or system at a time.

With our unique integrated metadata and data processing, get the answers to the following questions:

1. Which systems have the worst data quality?
2. Which systems contain sensitive data?

Data Profiling

All data is automatically profiled, so you can deep dive into any data set for duplicates, anomalies, patterns, and other statistics.

See what else is automated with our data catalog

Execute

Achieve more with less: automate data governance

Business Glossary

Collaborate and define business terms, their hierarchies, and relationships.

Approve and publish changes.

Associate business rules and policies with business terms and automate.

Automated Data Quality

Ataccama ONE lets you effortlessly monitor data quality in all your systems, as well as cleanse data and provide it to users and systems.

It also detects anomalies and notifies you of issues and failed structure checks.

Learn more about our automated data quality

Centralized Reference Data Management

Reference data is an important part of data governance. This slowly changing data ensures that different departments and systems use the same categories and codes for reporting and operations.

Ataccama ONE lets you establish a governed process for authoring reference data and providing it to the whole organization.

Learn more about our RDM

AI-Augemented Master Data Management

With automated data discovery, data quality, and AI-powered matching rules and model configuration, deploy a multi-domain MDM solution faster.

Consolidate data, manage consents, author records, and publish changes through a configurable workflow.

Learn more about our multi-domain MDM

Prove the value of data governance by visualizing progress and communicating achievements to stakeholders and sponsors.

Independent Analyst Research: Habits of Successful Data Governance Programs

The Information Difference conducted research into 140+ data governance programs across a range of verticals. Watch this webinar to learn what makes enterprise data governance programs successful, how your own data governance practices match up, and where you can improve these practices.

Watch webinar