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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Maextro serves as a robust master data management solution that empowers organizations with enhanced control, visibility, and assurance over their SAP master data. Leveraging the capabilities of SAP BTP, it functions as a centralized orchestration framework for the creation, maintenance, governance, and distribution of high-quality master data across both SAP and non-SAP systems. At its foundation, Maextro streamlines and standardizes the processes involved in creating and modifying master data. It offers guided, role-specific workflows for essential master data objects, including business partners, customers, vendors, materials, and custom entities. These workflows guarantee accurate data capture from the outset, adhering to established rules, validations, and approval procedures that correspond with business objectives and governance standards. Users benefit from intuitive, user-friendly interfaces that eliminate the complexities that often accompany SAP master data transactions. In addition to its operational benefits, Maextro strongly prioritizes the maintenance of data quality and consistency, ensuring that organizations can rely on their master data for critical decision-making processes.

Description

PiLog stands out as a premier provider of Master Data Quality Solutions, catering to various master data domains across multiple industries. Their innovative solutions prioritize establishing a shared business language while effectively managing the guidelines for producing high-quality, multilingual descriptions tailored to client needs. With over two decades of dedicated research, development, and execution, PiLog offers unique technical dictionary content that enhances data quality. Known as The Master Data Experts, the PiLog team has successfully cleansed tens of millions of records, leading to significant cost savings for their clients. By eliminating duplicate inventory and spare parts, reducing free-text expenses, and optimizing spend analysis through accurate item and service classification, PiLog has proven its value in the market. Their commitment to excellence ensures that clients not only achieve better data management but also realize substantial financial benefits.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Eclipse GlassFish
Google Chrome
IBM Db2
Internet Explorer
Microsoft Edge
Mozilla Firefox
MySQL
Opera
Oracle Database
Oracle WebLogic Server
SAP Business Technology Platform
SAP Store
SQL Server
Safari
WildFly

Integrations

Eclipse GlassFish
Google Chrome
IBM Db2
Internet Explorer
Microsoft Edge
Mozilla Firefox
MySQL
Opera
Oracle Database
Oracle WebLogic Server
SAP Business Technology Platform
SAP Store
SQL Server
Safari
WildFly

Pricing Details

$2,750 per month
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Bluestonex

Founded

2012

Country

United Kingdom

Website

bluestonex.com

Vendor Details

Company Name

PiLog

Founded

1996

Country

United States

Website

www.piloggroup.com/master-data-record-manager.php

Product Features

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

Product 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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