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Description

The growing abundance of essential business information presents both opportunities for gaining insights and risks of potential mistakes. IBM® InfoSphere® Master Data Management offers robust matching functionalities to align and address discrepancies in data, ensuring that you maintain the most current and precise understanding of your information. With the ability to access a reliable, all-encompassing 360-degree perspective on your customers and operational processes, users can engage in collaboration and foster innovation. Users can now harness the enterprise capabilities of InfoSphere Master Data Management within the secure, governed, and integrated environment of IBM Cloud Pak® for Data. This solution allows for the consolidation of enterprise-wide business data into an exceptionally accurate representation. Additionally, it enables the visualization of master, transactional, and Hadoop data, facilitating analysis by business users and helping to create a virtual golden profile of master data suitable for registry-style applications. By enhancing visibility and accessibility, organizations can drive more informed decision-making.

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

BMC AMI Ops Automation for Capping
OpenText Analytics Database (Vertica)
SpiceX

Integrations

BMC AMI Ops Automation for Capping
OpenText Analytics Database (Vertica)
SpiceX

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/products/ibm-infosphere-master-data-management

Vendor Details

Company Name

Triniti

Website

www.triniti.com/lean-mdm

Product Features

PIM

Content Syndication
Data Modeling
Data Quality Control
Digital Asset Management
Documentation Management
Master Record 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
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