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What is erwin Data Intelligence?

Erwin Data Intelligence (erwin DI) combines data cataloging with data literacy initiatives to boost awareness and accessibility of data resources, while offering guidance on their proper usage and ensuring compliance with data policies and best practices. It systematically collects, converts, and assembles metadata from a wide array of data sources, business applications, operational workflows, and data models into a unified catalog. This catalog is then made available in an understandable format through role-specific, contextual views, empowering stakeholders to make strategic decisions based on trustworthy insights. Additionally, erwin DI fosters enterprise data governance and supports digital transformation efforts, as well as any projects that rely on data for optimal outcomes. The platform facilitates the scheduling of regular metadata scans from various data sources, simplifying the tracking of data elements from their origin to their final destination, including during transit, and enabling smooth data integration across multiple platforms. Moreover, it equips data consumers to discover and analyze data relevant to their specific roles, thereby enhancing data engagement within the organization. Ultimately, erwin DI acts as a robust solution for maximizing the potential and value extracted from data assets while promoting a culture of data-driven decision-making across all levels of the enterprise. This comprehensive approach ensures that organizations can fully leverage their data capabilities for sustained growth and innovation.

What is Oracle Enterprise Data Management?

Boost your capability to swiftly and adeptly respond to changes by proficiently overseeing your master data, whether navigating a cloud application transition, managing the effects of mergers and acquisitions, or aligning metadata inconsistencies across multiple business areas and applications. You have the ability to import hierarchies or lists from various applications contributing to your data ecosystem, which allows for streamlined operations and removes the need for data validation upon entry, even in cases of lower data quality. Moreover, you can improve the overall data quality within a particular application or business area by validating distinct perspectives known as viewpoints. Additionally, you can effortlessly migrate and map enterprise data elements while accommodating ongoing changes across a range of environments, including public, private, and hybrid clouds, regardless of whether the data comes from Oracle or other third-party providers. Utilizing a straightforward shopping cart interface, you can conveniently create new enterprise data or adjust existing relationships and attributes, thus empowering you to manage your data landscape with more efficiency. This method not only simplifies the data management process but also fosters enhanced collaboration among teams, leading to a more cohesive working environment. As a result, your organization can achieve greater agility and responsiveness in a rapidly evolving data landscape.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Archer
Axibase Enterprise Reporter (AER)
Azure Marketplace
Couchbase
DataStax
Denodo
Experian Aperture Data Studio
IBM Cloud
IRI Data Protector Suite
IRI FieldShield
Microsoft 365
Oracle Cloud Infrastructure
Snowflake
Talend Data Fabric
Teradata VantageCloud

Integrations Supported

Amazon Web Services (AWS)
Archer
Axibase Enterprise Reporter (AER)
Azure Marketplace
Couchbase
DataStax
Denodo
Experian Aperture Data Studio
IBM Cloud
IRI Data Protector Suite
IRI FieldShield
Microsoft 365
Oracle Cloud Infrastructure
Snowflake
Talend Data Fabric
Teradata VantageCloud

API Availability

Has API

API Availability

Has API

Pricing Information

$299 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Quest Software

Date Founded

1987

Company Location

United States

Company Website

erwin.com/products/erwin-data-intelligence/

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/performance-management/enterprise-data-management/

Categories and Features

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

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