IBM

IBM InfoSphere Master Data Management

7.6 /10

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

Latest Award, 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.

80 Likeliness to Recommend

2
Since last award

100 Plan to Renew

79 Satisfaction of Cost Relative to Value

5
Since last award

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Emotional Footprint Overview

+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

10% Neutral

89% Positive

Pros

Effective Service
Reliable
Unique Features
Client's Interest First

Feature Ratings

Average 84

Reference Data Management

Metadata Management

Golden Record Management

Workflow Management

Entity Relationship Management

Aggregational Hierarchies Management

Record Management

Data Modelling Tools

Multi-Domain Mastering

Record Deduplication

Intrinsic Data Model

Vendor Capability Ratings

Average 81

Ease of Data Integration

Quality of Features

Availability and Quality of Training

Business Value Created

Ease of Customization

Vendor Support

Usability and Intuitiveness

Breadth of Features

Ease of Implementation

Ease of IT Administration

Product Strategy and Rate of Improvement

IBM InfoSphere Master Data Management Reviews

Serguei P.

Role: Information Technology
Industry: Banking
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Sep 2024

Easy to use, good product!

Likeliness to Recommend

9 /10

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

Friendly user interface

What is your favorite aspect of this product?

High reliability

What do you dislike most about this product?

High cost.

What recommendations would you give to someone considering this product?

Highly recommend it.

Pros

Helps Innovate
Continually Improving Product
Trustworthy
Saves Time

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Anonymous Reviewer

Submitted Jul 2024

Nice product. Do your research well

Likeliness to Recommend

8 /10

Pros

Continually Improving Product
Unique Features
Respectful
Client Friendly Policies

Nathalie Z.

Role: Sales Marketing
Industry: Retail
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Jun 2023

A great tool to help industries!

Likeliness to Recommend

8 /10

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

In our company, IBM MDM is used to manage data from many sources and to show it to the general user base in a clear, useful platform where people can interact and explore. The user interface is straightforward, but the back end requires a lot of work. Incredibly helpful tool suite for managing metadata and information. A nearly full-stop, all-inclusive offering.

What is your favorite aspect of this product?

The thing I enjoy the most about it is how much easier it makes it for me to swiftly and simply interpret my data due to a useful dashboard that offers improved user interfaces and summary views. Several services to build a strong service-oriented architecture. Database integration is simple, and customization to meet specific needs is simple. The greatest platform for managing consumer data. IBM is a one-stop shop for managing master data, metadata, and reference data. It is also highly adaptable and simple to use. It can communicate with other programs quite easily as well.

What do you dislike most about this product?

The dashboard is the only thing I find annoying because the interface can occasionally get a little “wonky” and experience some minor issues.

What recommendations would you give to someone considering this product?

I appreciate how simple it is to operate and, more significantly, how simple it is to teach new team members how to use it. I particularly appreciate the option to combine several solutions, such as governance, data management, etc. The IBM Infosphere etl procedure can be used with relative ease because the tool is quite self-explanatory. I appreciate how promptly a technician or customer support agent could assist me if there was a problem.

Pros

Continually Improving Product
Reliable
Performance Enhancing
Trustworthy

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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

2 Since last award

100 Plan to Renew

79 Satisfaction of Cost Relative to Value

5 Since last award

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.

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.

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."

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

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

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

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.

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

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

Record Deduplication Ability to eliminate duplicate records in a datset.

Intrinsic Data Model Includes basic data models out of the box such as customer, account, product, location, etc.

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.

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 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.

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.

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.

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.

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.

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

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

Serguei P.

Easy to use, good product!

Likeliness to Recommend

Pros

Nice product. Do your research well

Likeliness to Recommend

Pros

Nathalie Z.

A great tool to help industries!

Likeliness to Recommend

Pros

Most Popular IBM InfoSphere Master Data Management Comparisons

SAP Master Data Governance

PiLog MDRM

Informatica Master Data Management

Boomi

Semarchy xDM

SAS Data Management

2
Since last award

5
Since last award

Feature Ratings

Reference Data Management

Metadata Management

Golden Record Management

Workflow Management

Entity Relationship Management

Aggregational Hierarchies Management

Record Management

Data Modelling Tools

Multi-Domain Mastering

Record Deduplication

Intrinsic Data Model

Vendor Capability Ratings

Ease of Data Integration

Quality of Features

Availability and Quality of Training

Business Value Created

Ease of Customization

Vendor Support

Usability and Intuitiveness

Breadth of Features

Ease of Implementation

Ease of IT Administration

Product Strategy and Rate of Improvement