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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 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

Axibase Enterprise Reporter (AER)
Azure Marketplace
SAP ERP
SAP HANA

Integrations Supported

Axibase Enterprise Reporter (AER)
Azure Marketplace
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

Date Founded

1977

Company Location

United States

Company Website

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

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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