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Description

By utilizing IBM Master Data Management (MDM) on Cloud for both customer and product data, organizations can confidently trust and govern their information while benefiting from versatile deployment models. This approach enables faster workflows, easier scalability, and cost reduction. The fully managed solution facilitates rapid experimentation and innovation without the burden of administrative and infrastructure challenges. Furthermore, it lowers the initial expenses associated with new projects and mitigates risks through affordable entry points and subscription-based licensing options. With quicker provisioning and deployment of Master Data Management, businesses can allocate more resources toward developing new solutions and fostering innovation. Additionally, IBM Master Data Management on Cloud ensures high availability and enhanced user experience with its optimized infrastructure. Its customizable hardware and software framework is built on the reliable IBM Spectrum® Protect technology, allowing companies to migrate all or portions of their MDM workloads to the cloud seamlessly. This flexibility ultimately empowers businesses to adapt and thrive in a data-driven landscape.

Description

Forward-thinking companies have come to understand that the handling of master data is fundamentally a business concern rather than merely an IT challenge. By implementing principles from Lean business philosophy, organizations can streamline processes and reduce inefficiencies, such as correcting data errors within the information supply chain. Even with substantial investments in various IT applications to enhance their operations, many businesses still grapple with the critical issue of ensuring the quality of their master data. The question arises: how can we minimize the time spent on data maintenance and focus more on effective management of our operations? Redirecting efforts toward increasing inventory turnover, shaping demand, or enhancing fulfillment processes can lead to greater success than merely addressing inaccuracies in product or customer data, which often lead to poor planning and execution. Drawing inspiration from Toyota's remarkable long-term success, leading scholars and American business executives have meticulously analyzed the Toyota Production System and the mechanisms that contribute to its effectiveness, highlighting the importance of a systematic approach to quality management in business practices. As they delve deeper, the hope is to foster a culture that prioritizes data integrity and operational excellence.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

IBM Storage Protect

Integrations

IBM Storage Protect

Pricing Details

No price information available.
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

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/mdm

Vendor Details

Company Name

Triniti

Website

www.triniti.com/lean-mdm

Product 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

Product Features

Product Data Management

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

Alternatives

Alternatives

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