Overview
Use trusted data. Gain competitive advantages.
Eliminate the technological complexities of data governance so users can connect to the right data at the right time, regardless of where it resides.
Establish a governance framework designed to automate the enforcement of data protection policies. Start activating metadata to build data products faster, leading to more intelligent decisions.
How it’s used
Data governance
Know your data
Understand your data, its meaning, how it’s used by the business, and the policies and rules that govern it.
Data quality
Trust your data
Enable confidence in the quality and the source of your data with a full understanding of content and usability.
Data privacy
Protect your data
Facilitate enterprise-wide data access without the risk of regulatory compliance violations.
Data consumption
Use your data
Spend less time searching and preparing data and more time putting it to use doing analytics to extract business value.
Benefits of data governance and privacy
Operationalize consistency
Manage policies and rules
Automate data privacy and security at scale
Improve data quality
Capabilities
Advanced data discovery
Find relevant assets from across the enterprise and at scale based on intelligent recommendations from IBM Watson® and peers.
Metadata enrichment
Increase visibility across a distributed landscape by providing the right context and to help users access, identify and consume data.
Operationalize data quality
Establish data lineage and ensure use quality scores to improve data quality across structured data, unstructured data, AI models and notebooks.
Manage data policies
Protect data, manage compliance and audit-readiness, and maintain client trust with active policy management.
Data lineage
Trace and analyze how data is moved and consumed across all your applications and data sources.
Advanced data privacy
Autonomous enforcement of data and AI governance policies, providing automatic decisions to mask and protect data.
Data privacy risk assessment
Conduct automated privacy risk assessments on your data assets and obtain recommendations to mitigate the identified risks.
Enable self-service data consumption
Enable self-service access to trusted and governed data to quickly find, understand, prepare and use the data to drive business outcomes.
Get the trial at no cost
Automate governance and data security with a data fabric.
This is really what the Data Fabric is all about. ING employees can just use the data to make decisions no matter where they are. As long as they have the right purpose, as long as that data is allowed to be seen by them for their purpose, they can do it.
Ferd Scheepers
Chief AI Architect
ING
Danske Bank’s goal — to not only input and store data effectively, but also to make data easier to consume for every stakeholder, all while maintaining rigorous compliance standards — was realized with the help of IBM through the Global Elite Program…
Vicki Leigh Mackenzie
Data Governance Leader
Danske Bank
Included solutions
IBM Watson Knowledge Catalog
Activate business-ready data for AI and analytics with intelligent cataloging, backed by active metadata and policy management.
IBM Watson Query
Execute distributed and virtualized queries across a disparate data landscape with this universal query engine.
Resources
Forrester Total Economic Impact report
Learn how IBM Cloud Pak® for Data and IBM Watson Knowledge Catalog services are contributing ROI up to 158% for your peers in the market.
Leader for Data Quality Solutions
See why IBM is recognized as a Leader for Data Quality Solutions in the 2021 Garner Magic Quadrant for Data Quality Solutions.