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What is zetVisions SPoT?

Master data encompasses the essential and stable reference information associated with key business entities such as customers, products, suppliers, and employees. The zetVisions SPoT functions as an intelligent data steward, facilitating the upkeep of a dependable database while helping you achieve your goals more efficiently. The advantages of SPoT are not limited to just the migration phase; they continue to provide benefits well into the post-migration stage, guaranteeing lasting value. This platform promotes effective operations and enhanced data governance, making it easier to align with internal policies regarding data entry, approval, and maintenance. By adopting SPoT, organizations can maintain superior data quality and consistently improve compliance with their internal standards. Furthermore, this cutting-edge solution allows your team to concentrate on more strategic initiatives, freeing them from the burdens of managing data-related challenges. Ultimately, SPoT not only streamlines processes but also fosters a culture of data excellence across the organization.

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.

Media

Media

Integrations Supported

SAP ERP
SAP HANA

Integrations Supported

SAP ERP
SAP HANA

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

zetVisions

Date Founded

2001

Company Location

Germany

Company Website

www.zetvisions.de/software/stammdatenmanagement

Company Facts

Organization Name

Oracle

Company Website

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

Categories and Features

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

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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