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IBM

IBM InfoSphere Master Data Management

Composite Score

7.5 /10

CX Score

7.8 /10

25 Reviews Write a Review

What is IBM InfoSphere Master Data Management?

InfoSphere MDM manages master data for single or multiple domains – customers, patients, citizens, suppliers, locations, products, services offerings, accounts and more – for improving application and business process effectiveness.

Company Details

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Awards & Recognition

IBM InfoSphere Master Data Management won the following awards in the Master Data Management category

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3 Top Rated Capabilities

7 Top Rated Features

2024

3 Top Rated Capabilities

11 Top Rated Features

2023

6 Top Rated Capabilities

12 Top Rated Features

2022

2020 Data Quadrant Gold Medalist

2020

IBM InfoSphere Master Data Management Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on IBM InfoSphere Master Data Management.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

80 Likeliness to Recommend

100 Plan to Renew

79 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+90 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love IBM InfoSphere Master Data Management?

1% Negative

9% Neutral

90% Positive

Pros

Reliable
Unique Features
Client's Interest First
Efficient Service

Feature Ratings

Average 84

Reference Data Management

Golden Record Management

Metadata Management

Workflow Management

Data Modelling Tools

Entity Relationship Management

Record Management

Record Deduplication

Multi-Domain Mastering

Aggregational Hierarchies Management

Record Linkage

Vendor Capability Ratings

Average 81

Ease of Data Integration

Quality of Features

Availability and Quality of Training

Vendor Support

Ease of Customization

Business Value Created

Ease of IT Administration

Usability and Intuitiveness

Ease of Implementation

Breadth of Features

Product Strategy and Rate of Improvement

IBM InfoSphere Master Data Management Reviews

Jason P.

Role: Finance
Industry: Healthcare
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Sep 2021

Model and analyze data with IBM Infosphere .

Likeliness to Recommend

10 /10

What differentiates IBM InfoSphere Master Data Management from other similar products?

IBM Infosphere Master Data Management is the robust tool that has data warehouse and archiving tools in one place.

What is your favorite aspect of this product?

How it has been easy to consolidate data from multiple data resources is the best aspect about IBM Infosphere Master Data Management. Improving quality of data by removing information that’s duplicated has enhanced data integrity.

What do you dislike most about this product?

I can’t complain at the moment since the vendor support team offered implementation and post implementation support.

What recommendations would you give to someone considering this product?

To avoid time wastage while orchestrating data, I would recommend them to implement and consolidate data in one platform with IBM Infosphere Master Data Management.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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Latest Research

IBM InfoSphere Master Data Management

What is IBM InfoSphere Master Data Management?

Company Details

Need Assistance?

Awards & Recognition

2020 Data Quadrant Gold Medalist

IBM InfoSphere Master Data Management Ratings

80 Likeliness to Recommend

100 Plan to Renew

79 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+90 Net Emotional Footprint

How much do users love IBM InfoSphere Master Data Management?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Reference Data Management Ability to store and distribute reference data created externally. Examples of reference data: country/currency codes, administrative regions, etc.

Golden Record Management Includes ability to profile, clean, match, link, identify, and reconcile master data in different data sources to create and maintain the "golden record."

Metadata Management A metadata layer makes reporting easy and eliminates the need for coding and SQL, allowing users to see and access information in simple business language.

Workflow Management Includes ability to support flexible and comprehensive workflow-based capabilities.

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

Entity Relationship Management Ability to manage relationships across entity instances within the same entity class, as well as across entity classes.

Record Management Includes ability for Data stewards to monitoring data quality, taking action to determine the root cause of flagged issues and recommending remediation actions.

Record Deduplication Ability to eliminate duplicate records in a datset.

Multi-Domain Mastering Ability to manage different types of master data (person, product, etc.) inside the same platform.

Aggregational Hierarchies Management Ability to create and maintain hierarchical constructs/models used by the business to aggregate information for reporting and analytics.

Record Linkage Ability to find records in a dataset that refer to the same entity across different data sources

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

IBM InfoSphere Master Data Management Reviews

Jason P.

Model and analyze data with IBM Infosphere .

Likeliness to Recommend

Pros

Most Popular IBM InfoSphere Master Data Management Comparisons

SAP Master Data Governance

PiLog MDRM

Informatica Master Data Management

Semarchy Data Platform

Boomi

SAS Data Management

Title

Feature Ratings

Reference Data Management

Golden Record Management

Metadata Management

Workflow Management

Data Modelling Tools

Entity Relationship Management

Record Management

Record Deduplication

Multi-Domain Mastering

Aggregational Hierarchies Management

Record Linkage

Vendor Capability Ratings

Ease of Data Integration

Quality of Features

Availability and Quality of Training

Vendor Support

Ease of Customization

Business Value Created

Ease of IT Administration

Usability and Intuitiveness

Ease of Implementation

Breadth of Features

Product Strategy and Rate of Improvement