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What is PiLog?

PiLog distinguishes itself as a leading provider of Master Data Quality Solutions, servicing a range of master data fields across numerous sectors. Their groundbreaking solutions emphasize the creation of a unified business language while adeptly overseeing the standards necessary for generating high-quality, multilingual descriptions that cater specifically to client requirements. With over twenty years committed to research, development, and implementation, PiLog provides distinctive technical dictionary content that significantly boosts data quality. Renowned as The Master Data Experts, the dedicated PiLog team has effectively cleansed millions of records, resulting in considerable cost reductions for their clients. Through the elimination of duplicate inventories and spare parts, minimizing free-text costs, and refining spend analysis via precise item and service classifications, PiLog has showcased its market value. Clients not only benefit from enhanced data management but also enjoy meaningful financial advantages as a result of PiLog's unwavering commitment to excellence. Furthermore, their innovative approach continues to set new benchmarks in the industry, ensuring sustainable growth for their partners.

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

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 Supported

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

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

PiLog

Date Founded

1996

Company Location

United States

Company Website

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

Company Facts

Organization Name

Bluestonex

Date Founded

2012

Company Location

United Kingdom

Company Website

bluestonex.com

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

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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