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What is Triniti Lean MDM?

Progressive organizations have recognized that managing master data is primarily a business issue rather than just an IT problem. By adopting principles from Lean business methods, companies can enhance their workflows and eliminate inefficiencies, such as fixing data inaccuracies within the information supply chain. Despite significant investments in a variety of IT solutions aimed at improving their operations, numerous firms continue to face the pressing challenge of maintaining the quality of their master data. This raises an important question: what strategies can we employ to reduce the time allocated for data upkeep and concentrate more on effectively managing our operations? By shifting focus towards increasing inventory turnover, influencing demand, or optimizing fulfillment processes, organizations can achieve greater success compared to merely rectifying errors in product or customer information, which frequently results in subpar planning and execution. Drawing lessons from Toyota's impressive long-term achievements, top researchers and American business leaders have carefully examined the Toyota Production System and the elements that drive its success, emphasizing the necessity of a systematic quality management approach in business operations. Through this exploration, the ultimate goal is to cultivate a culture that emphasizes both data integrity and operational excellence, ensuring that these principles are woven into the fabric of everyday business practices. As companies embrace these concepts, they may unlock new levels of efficiency and effectiveness that were previously unattainable.

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

SAP Business Technology Platform

Integrations Supported

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

Triniti

Company Website

www.triniti.com/lean-mdm

Company Facts

Organization Name

Bluestonex

Date Founded

2012

Company Location

United Kingdom

Company Website

bluestonex.com

Categories and Features

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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