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Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
SpiceX
No
Vertica
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/products/ibm-infosphere-master-data-management
Vendor Details
Company Name
Triniti
Website
www.triniti.com/lean-mdm
Product Features
PIM
Content Syndication
Yes
Data Modeling
No
Data Quality Control
No
Digital Asset Management
No
Documentation Management
No
Master Record 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