#analytics

What is unified governance and integration?

Data governance introduces practices that optimize the value of data, clarifies the ownership of the data and enables businesses to make better decisions based on the data. A unified governance strategy helps bring order to structured and unstructured data by delivering governed information to the business. Is your data trustworthy and a source for insights and intelligence?

The IBM unified governance and integration platform and solutions empower you to know your data is correct and available to every data user, to trust your data to deliver efficiency and protection and to use your data to drive business transformation and innovation, including reaching AI faster.

Built on the flexibility of an open data platform, best-in-class security and governance, it helps you create a trusted analytics foundation to meet the demands of your enterprise on any platform — on premises, on cloud and in a hybrid environment — at any scale.

Problems IBM solves

Governing your data lake

Embed data integration, data quality, and availability into your data lake environment to accelerate exploration and insight creation, while avoiding data swamps.

Offloading your enterprise data warehouse

Incorporate data integration, quality, and governance to maintain trusted and clean data for analytics by offloading EDW data and ETL workloads to a data lake or Hadoop.

GDPR (General Data Protection Regulation)

Accelerate your personal data discovery and protection journey with the help of IBM.

Enabling information-driven insights

Empower every data user and line-of-business leader with high-value, 360-degree views of trusted data to drive business insights and intelligence.

In the spotlight

IBM Information Governance Catalog and Watson Knowledge Catalog

A unified enterprise data catalog helps improve the efficiencies of knowledge workers by using machine learning to enable them to find information and be productive in their use of data science tools. It brings role-based experiences to business analysts, data scientists, data engineers and data stewards to help them discover and consume data from wherever and whenever they need it. It can make the processes of harvesting metadata, curating assets and sharing knowledge as efficient as possible.

IBM is now combining the capabilities from IBM Information Governance Catalog with the innovative user experiences from IBM Watson® Knowledge Catalog, which is designed for the consumption of metadata for active use in building a unified knowledge catalog for your enterprise.

Capabilities

Data integration

Transform structured and unstructured data and deliver it to any system on a scalable big data platform.

Data governance

Catalog and govern your structured and unstructured data, track its lineage and apply policies and rules, and provide trusted insights for your business.

Master data management

Establish a single trusted 360-degree view of customer data and enable users with self-service analytics to deliver insights.

Data quality

Clean, manage, and make available reliable data across your organization.

Data replication

Provide trusted data synchronization (including change data capture capabilities) and availability to efficiently manage data growth while increasing revenue through use of up-to-the-minute information.

Information lifecycle governance

Discover how to effectively manage the information lifecycle and avoid costs and risks to drive more business value from your data.

Resources

Gartner Magic Quadrant for Data Integration Tools

See how IBM has been positioned as a leader in the Gartner Magic Quadrant for Data Integration for over a decade.

Gartner Magic Quadrant for Data Quality Tools

See how IBM has been positioned as a leader in the Gartner Magic Quadrant for Data Quality.

Gartner Magic Quadrant for Metadata Management Solutions

See how IBM has been positioned as a leader in the Magic Quadrant for Metadata Management solutions.

The Forrester Wave: Big Data Fabric

Forrester identified the 15 most significant big-data fabric vendors — including IBM — and researched, analyzed and scored them against 26 criteria.

Customer success

J.B. Hunt Transport

Operating in a heavily regulated industry, J.B. Hunt must store data securely and for the prescribed period. The transportation company wanted to ensure that it was managing content in an efficient, compliant way.

Schedule a one-on-one call

Engage with thought leaders, distinguished engineers and unified governance and integration experts who have worked with thousands of clients to build winning data, analytics and AI strategies.