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features
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Description

Enhance your ability to swiftly and efficiently adapt to changes by effectively managing your master data, whether it's during a cloud application migration, addressing the impacts of mergers and acquisitions, or harmonizing metadata discrepancies across various business functions and applications. You can import lists or hierarchies from different applications that contribute to your data ecosystem. By doing so, you can streamline processes and eliminate the need for data validation during entry, even when dealing with subpar data quality. Furthermore, you can elevate the overall quality of data within a specific application or business sector by validating distinct perspectives, referred to as viewpoints. Additionally, effortlessly migrate and map enterprise data elements along with ongoing modifications across diverse environments, including public, private, and hybrid clouds, whether they originate from Oracle or other third-party sources. With a user-friendly shopping cart interface, you can easily create new enterprise data or modify existing relationships and attributes, empowering you to manage your data landscape more effectively. This approach not only simplifies the data management process but also enhances collaboration across teams.

Description

To grasp the concept of master data management (MDM) thoroughly, we must start by defining master data while distinguishing it from master data management itself. Master data refers to the essential business information that underpins and categorizes the transactional and analytical data within an organization. This type of data is sometimes called “enterprise data” or “metadata” and typically encompasses application-specific metadata, various business perspectives, corporate dimensions, reference data, and master data assets. Instances of such enterprise data can include the chart of accounts, organizational or cost-center structures, market segments, product categories, and additional elements. On the other hand, master data management (MDM) performs the role indicated by its name—specifically managing master data. MDM integrates a suite of applications and technologies designed to consolidate, cleanse, and enhance master data while ensuring its synchronization with various applications, business processes, and analytical tools. Overall, MDM plays a crucial role in maintaining the integrity and consistency of data across an enterprise, ultimately driving more informed decision-making.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Axibase Enterprise Reporter (AER)
Azure Marketplace

Integrations

Axibase Enterprise Reporter (AER)
Azure Marketplace

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

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

Vendor Details

Company Name

Oracle

Website

www.oracle.com/sg/scm/product-lifecycle-management/master-data-management/

Product 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

Product Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

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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