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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

IBM Storage Protect Yes 

Integrations

IBM Storage Protect No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

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 No 
Campaign Management No 
Customer Profiles No 
Customer Segmentation No 
Data Integration No 
Data Matching No 
GDPR Compliance No 
Personalization No 
Predictive Modeling No 

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Product Data Management

Bill of Material Management No 
Document Management No 
Formula Management No 
Product Analytics No 
Product Lifecycle Management No 
Testing Management No 
Version Control No 

Product Features

Product Data Management

Bill of Material Management No 
Document Management No 
Formula Management No 
Product Analytics No 
Product Lifecycle Management Yes 
Testing Management No 
Version Control No 

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