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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 IBM Master Data Management on Cloud?

Organizations can enhance their governance and trust in both customer and product data by leveraging IBM Master Data Management (MDM) on Cloud, which offers multiple deployment models. This strategy not only accelerates workflows and simplifies scalability but also leads to significant cost savings. With a fully managed solution, companies can engage in rapid experimentation and innovation without the complexities of managing infrastructure or administrative tasks. The approach reduces the initial costs of new initiatives, providing affordable entry points and subscription options that help to minimize risks. As a result of faster provisioning and deployment of Master Data Management, businesses are able to focus more on creating innovative solutions. Moreover, IBM MDM on Cloud guarantees high availability and an improved user experience due to its well-optimized infrastructure. Built on the dependable IBM Spectrum® Protect technology, its customizable hardware and software framework allows seamless migration of all or parts of MDM workloads to the cloud. This adaptability not only supports businesses in remaining competitive but also enables them to leverage data effectively in an increasingly data-centric world. Therefore, investing in such advanced solutions positions organizations to succeed in the evolving landscape of data management.

Media

Media

Integrations Supported

IBM Storage Protect

Integrations Supported

IBM Storage Protect

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/mdm

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

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Product Data Management

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

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