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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.

What is Maextro?

Maextro acts as a powerful master data management platform that provides organizations with improved oversight, control, and confidence in their SAP master data. Utilizing the features of SAP BTP, it serves as a centralized framework for the creation, governance, maintenance, and distribution of high-quality master data across both SAP and non-SAP environments. At its core, Maextro simplifies and standardizes the processes related to the creation and modification of master data. It provides role-specific guided workflows for key master data objects such as business partners, customers, vendors, materials, and custom entities. These workflows ensure precise data capture from the beginning, following established rules, validations, and approval processes aligned with business goals and governance guidelines. Users enjoy an intuitive and accessible interface that reduces the complexities typically associated with SAP master data transactions. Furthermore, Maextro places a strong emphasis on maintaining data quality and consistency, which allows organizations to trust their master data for important decision-making. This focus on reliability enhances overall operational efficiency and supports strategic initiatives throughout the organization.

Media

Media

Integrations Supported

Axibase Enterprise Reporter (AER)
Azure Marketplace
SAP Business Technology Platform

Integrations Supported

Axibase Enterprise Reporter (AER)
Azure Marketplace
SAP Business Technology Platform

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$2,750 per month
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

Date Founded

1977

Company Location

United States

Company Website

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

Company Facts

Organization Name

Bluestonex

Date Founded

2012

Company Location

United Kingdom

Company Website

bluestonex.com

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

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

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