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What is MasterDataOnline?

MDO goes beyond conventional master data management by integrating automation to improve data standardization and governance, effectively harnessing your data to achieve strategic goals. It operates within a comprehensive governance framework, ensuring that only verified, standardized, and enhanced data is introduced into your system through active governance, while passive governance supports ongoing data validation and correction within your current setup. As a flexible cloud solution, MDO includes pre-built data models and business rules that address crucial master data categories like assets, spares, and suppliers, and it integrates effortlessly with SAP as well as other enterprise platforms. Additionally, MDO provides the capability to implement governance policies based on user roles, complete with approval workflows and audit trails, which promote data stewardship and increase data usage across your organization. By systematically preparing, cleansing, enriching, and migrating data, MDO is supported by a stringent data quality assurance framework that upholds the integrity and dependability of your information. This thorough methodology ultimately empowers your organization to make well-informed decisions rooted in high-quality data, fostering a culture of data-driven insights and strategic planning. Such capabilities position MDO as a pivotal asset for businesses aiming to enhance their data governance and management processes.

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

Rocket TMON One
SAP Business Technology Platform

Integrations Supported

Rocket TMON One
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

Prospecta Software

Date Founded

2002

Company Location

Australia

Company Website

www.prospecta.com/mdo/

Company Facts

Organization Name

Bluestonex

Date Founded

2012

Company Location

United Kingdom

Company Website

bluestonex.com

Categories and Features

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

Product Data Management

Bill of Material Management
Document Management
Formula Management
Product Analytics
Product Lifecycle Management
Testing Management
Version Control

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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