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What is Oracle MDM?

To fully understand the principles of master data management (MDM), it is essential to begin with a clear definition of master data and how it differs from MDM itself. Master data constitutes the vital business information that forms the foundation and categorization of the transactional and analytical data present within an organization. Often referred to as "enterprise data" or "metadata," this category of data generally includes application-specific metadata, different business viewpoints, corporate dimensions, reference data, and various master data assets. Examples of such enterprise data encompass the chart of accounts, the structures of organizations or cost centers, market segments, and product categories, among other significant components. Conversely, master data management (MDM) is focused specifically on the management of master data itself. MDM utilizes a collection of applications and technologies aimed at consolidating, cleansing, and refining master data while ensuring it remains synchronized across various applications, business processes, and analytical tools. In essence, MDM serves a vital function in upholding the integrity and uniformity of data throughout an enterprise, which in turn fosters better decision-making processes. Furthermore, the successful implementation of MDM can lead to improved operational efficiency and enhanced data quality, benefiting the organization as a whole.

What is DataMax?

DataMax serves as a powerful solution tailored for enterprises, streamlining the complex elements of managing real-time data, which allows organizations to build, launch, and function efficiently at scale. This platform accelerates the pace at which companies can enact changes. With its unique architecture, methodologies, and a combination of advanced technologies, DataMax transforms fragmented data and reporting systems into a unified and comprehensive data perspective, providing essential insights for optimizing operations. Its innovative fusion of technologies guarantees effective data management that meets the rigorous demands of enterprises. The system has proven its ability to scale effectively and is specifically designed for cloud-based applications, supporting both time series and non-time series data seamlessly. By creating analytics frameworks, it significantly improves the quality of data, analysis, and reporting available to market analytics teams, thus enhancing the decision-making prowess of traders. In doing so, DataMax not only empowers organizations to adapt quickly to market fluctuations but also fosters the enhancement of their overall business strategies and operational efficiency. Furthermore, this robust platform positions businesses to leverage data as a strategic asset, ultimately driving growth and innovation.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Oracle

Company Website

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

Company Facts

Organization Name

Digiterre

Date Founded

2000

Company Location

United States

Company Website

www.digiterre.com/datamax/

Categories and 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

Categories and Features

Big Data

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

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