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Informatica LLC

Informatica Master Data Management

Composite Score

7.9 /10

CX Score

8.0 /10

68 Reviews Write a Review

What is Informatica Master Data Management?

Informatica Master Data Management is the only MDM solution that is both easy to deploy and flexible enough to solve your unique business challenges.

Company Details

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Awards & Recognition

Informatica Master Data Management won the following awards in the Master Data Management category

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2024 Emotional Footprint Champion

2024

2024 Data Quadrant Champion

2024

2023 Emotional Footprint Champion

2023

Informatica 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 Informatica 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.

86 Likeliness to Recommend

93 Plan to Renew

1
Since last award

73 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.

+87 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 Informatica Master Data Management?

5% Negative

5% Neutral

90% Positive

Pros

Enables Productivity
Respectful
Performance Enhancing
Unique Features

Feature Ratings

Average 78

Record Deduplication

Data Modelling Tools

Reference Data Management

Multi-Domain Mastering

Aggregational Hierarchies Management

Record Linkage

Intrinsic Data Model

Entity Relationship Management

Golden Record Management

Workflow Management

Entity Deduplication

Vendor Capability Ratings

Average 77

Usability and Intuitiveness

Ease of Data Integration

Business Value Created

Quality of Features

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Implementation

Ease of Customization

Ease of IT Administration

Vendor Support

Availability and Quality of Training

Informatica Master Data Management Reviews

Role: Information Technology
Industry: Manufacturing
Involvement: Business Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Sep 2021

Best Data Integration Tool

Likeliness to Recommend

9 /10

Pros

Effective Service
Fair
Generous Negotitation
Helps Innovate

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

Validated Review

Anonymous Reviewer

Submitted Sep 2021

Disappointed with price and features offered

Likeliness to Recommend

1 /10

Cons

Inhibits Innovation
Slower Product Innovation
Less Reliable

Role: Consultant
Industry: Manufacturing
Involvement: IT Development, Integration, and Administration

Validated Review

Anonymous Reviewer

Submitted Sep 2021

Easy to use with Greta support from vendor.

Likeliness to Recommend

9 /10

Pros

Continually Improving Product
Reliable
Unique Features
Efficient Service

How We Deliver

Events

Informatica Master Data Management

What is Informatica Master Data Management?

Company Details

Need Assistance?

Awards & Recognition

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

Informatica Master Data Management Ratings

86 Likeliness to Recommend

93 Plan to Renew

1 Since last award

73 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+87 Net Emotional Footprint

How much do users love Informatica Master Data Management?

Pros

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

Record Deduplication Ability to eliminate duplicate records in a datset.

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

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

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

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

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

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 Deduplication Ability to resolve duplicate representation of the same entity instance based on a set of defined attribute/rules and assign unique identifier for each instance

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

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

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.

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.

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.

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 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.

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

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.

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.

Informatica Master Data Management Reviews

Best Data Integration Tool

Likeliness to Recommend

Pros

Disappointed with price and features offered

Likeliness to Recommend

Cons

Easy to use with Greta support from vendor.

Likeliness to Recommend

Pros

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Schedule Your Call

1
Since last award

Feature Ratings

Record Deduplication

Data Modelling Tools

Reference Data Management

Multi-Domain Mastering

Aggregational Hierarchies Management

Record Linkage

Intrinsic Data Model

Entity Relationship Management

Golden Record Management

Workflow Management

Entity Deduplication

Vendor Capability Ratings

Usability and Intuitiveness

Ease of Data Integration

Business Value Created

Quality of Features

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Implementation

Ease of Customization

Ease of IT Administration

Vendor Support

Availability and Quality of Training