Enterprise Data Catalog
Discover and inventory data assets across your organization.
Overview
A machine-learning-based data catalog that lets you classify and organize data assets across any environment to maximize data value and reuse.
Enterprise-wide data discovery
Data is growing too fast for manual stewardship. Informatica’s AI-powered data catalog and discovery engine lets you scale in step with enterprise data growth. Automatically scan and catalog data across the enterprise, indexing it for enterprise-wide discovery using simple, Google-like search.
Holistic view of data
To get value from data and ensure compliance, you need to understand what data you have—and its source, quality, and relationship to other data. Our enterprise data map provides end-to-end lineage, profiling statistics, and relationship views for a clear, complete picture of your data.
Power of AI and human expertise
Empower data and business analysts to easily find the most relevant and trusted data—through the combined power of AI, human expertise, and collaboration. Leveraging AI helps maximize use of shared knowledge and automates data discovery, enrichment, and curation.
Business context
Intelligent data governance requires automated data discovery, collaboration, and the addition of business context to technical data assets. Our solution makes it easy to associate business terms and definitions with technical data assets for highly efficient business/IT collaboration and data governance.
Key Features
Connect and catalog any data asset
Automatic scanning to discover and catalog assets across on-premises, cloud, big data, and BI platforms, and across structured and unstructured data types.
Associate business terms to technical assets
Eliminate tedious manual associations of business glossary terms to technical data assets through AI-powered automatic association of business glossary terms
Enterprise Scale
Scan and index metadata, discover and profile, and compute detailed lineage, all at big data scale—and even behind firewalls.
AI-assisted collaboration
Harness the combined power of human expertise, social curation such as ratings and reviews, and AI-driven insights to automate data curation and enhance user experience.
End-to-end data lineage
Get complete tracking of data movement, including column/metric-level lineage and detailed impact analysis.
Open APIs
Leverage metadata APIs to easily integrate into your environment and consume catalog content anywhere.
Data relationships and recommendations
Quickly identify related tables, views, domains, and reports. See intelligent data recommendations based on column similarity and inferred domains.
Tableau extension
Discover and understand data in context based on lineage, certifications, peer reviews, and intelligent metadata—all within the native Tableau user interface.
Enterprise Data Catalog Public Cloud Support
Enterprise Data Catalog on Amazon Web Services
Get the same on-premises experience with the advantages of the cloud by hosting Enterprise Data Catalog on Amazon Web Services (AWS).
Enterprise Data Catalog on Microsoft Azure
Get a complete view of your data assets and get an on-premises experience in the cloud by hosting Enterprise Data Catalog on Microsoft Azure.
Customer Success Stories
MAERSK
Maersk Line Uses Data to Power a New Age of Shipping
AIA SINGAPORE
AIA Singapore Automates Data Delivery, Personalizing Customer Interactions.
MATTEL
Mattel, a multinational toy manufacturing company, uses an intelligent data catalog to advance its data-driven transformation.
Get the Most From Your Data
Enterprise Data Catalog helps you build a strong, flexible foundation to power your data-driven transformation initiatives.
Here are a few examples:
Enhancing Data Quality
Enterprise Data Catalog helps you discover where critical trusted data is within your enterprise. You’ll get clear information about meaning, usage, and business context, helping you develop a deep understanding of your data before applying data quality rules. Data lineage and impact analysis capabilities provide the visibility and control you need to manage change and reduce errors.
Cataloging for Cloud
Every cloud migration journey requires a deep understanding of your data landscape: what data you have, where it’s coming from, and what it impacts. Enterprise Data Catalog delivers that view as part of a strategic approach to cloud migration that provides comprehensive data visibility and minimizes disruption as cloud initiatives evolve. .
Supporting Data Integration Efforts
Enterprise Data Catalog delivers data visibility with business context, which fosters business-IT collaboration and facilitates agile prototyping and development of data integration pipelines. Graphical views of lineage, data flows, and impact analysis help business users easily discover and better understand your data.
Identifying and Classifying Master Data
Enterprise Data Catalog helps you identify and classify master data about customers, products, suppliers, employees, and more—including prioritizing the sources that supply your master data. Metadata-based profiling provides insight into data accuracy and completeness, making it easier to plan MDM initiatives and support self-service.
Increasing the Power of Analytics
Whether your next-generation analytics needs involve self-service capabilities or cloud data lakes, you must discover your data before you prepare it. Informatica has what you need: ingest, integrate, and enrich your data with Informatica Big Data Management; find, discover, and classify the data with Enterprise Data Catalog; then prepare your data with Enterprise Data Preparation.
Powering Data Governance at Scale
Successful data governance depends on knowing what data you have, where it is located, where it’s coming from, what the quality is, and how it's being used. Enterprise Data Catalog and its AI-driven insights help automate data discovery and cataloging processes so you can keep up with the ever-increasing volume of data. You can get visibility into all data—no matter where it resides—along with the critical business context you need to make informed decisions about data governance.
