This content is currently locked.

Your current Info-Tech Research Group subscription does not include access to this content. Contact your account representative to gain access to Premium SoftwareReviews.

Contact Your Representative

Or Call Us:
+1-888-670-8889 (US/CAN) or
+1-703-340-1171 (International)

Melissa Inc

Melissa Data Quality Suite

Composite Score

8.5 /10

CX Score

8.5 /10

79 Reviews Write a Review

What is Melissa Data Quality Suite?

Melissa Data Quality Suite leverages 35+ years of deep domain expertise in address management, data quality and identity verification to ensure your data is clean, accurate and fit for purpose. Easily validate, parse, standardize, match, and enrich customer data with global address verification, email validation, phone verification and name verification. With flexible on-premise and Cloud/SaaS deployment models, the Data Quality Suite is customizable to every environment and will empower your organization to unlock the full potential of your data.

Company Details

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Awards & Recognition

Melissa Data Quality Suite won the following awards in the Data Quality category

Filter By

0 Top Rated Capabilities

1 Top Rated Features

2025

2024 Data Quadrant Champion

2024

0 Top Rated Capabilities

1 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Melissa Data Quality Suite Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Melissa Data Quality Suite.

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.

88 Likeliness to Recommend

89 Plan to Renew

84 Satisfaction of Cost Relative to Value

1
Since last award

{y}

{name}

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 Melissa Data Quality Suite?

4% Negative

11% Neutral

85% Positive

Pros

Respectful
Helps Innovate
Fair
Performance Enhancing

Feature Ratings

Average 82

Dashboard

Data Profiling

Data Matching

Record Deduplication

Data Cleansing

Data Enrichment

Reporting Components

Geocoding

Record Management

Data Monitoring and Administration

Data Source Connectivity

Vendor Capability Ratings

Average 80

Ease of IT Administration

Ease of Data Integration

Business Value Created

Breadth of Features

Usability and Intuitiveness

Quality of Features

Vendor Support

Ease of Implementation

Ease of Customization

Availability and Quality of Training

Product Strategy and Rate of Improvement

Melissa Data Quality Suite Reviews

Danny R.

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

Validated Review

Verified Reviewer

Submitted Feb 2023

Distinguished Data System

Likeliness to Recommend

9 /10

What differentiates Melissa Data Quality Suite from other similar products?

Melissa Data delivers effective record management streams

What is your favorite aspect of this product?

Melissa Data ensure there is the Data enrichment structures

What do you dislike most about this product?

Melissa Data validates every data detail

What recommendations would you give to someone considering this product?

Melissa Data is manageable in making all data be certified

Pros

Reliable
Trustworthy
Unique Features
Inspires Innovation

Sherry C.

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

Validated Review

Verified Reviewer

Submitted Jan 2023

Qualitative Data Structures

Likeliness to Recommend

8 /10

What differentiates Melissa Data Quality Suite from other similar products?

Melissa Data has a powerful record deduplication for sustainable growth.

What is your favorite aspect of this product?

Melissa Data has facilitated accurate Data enrichment for competent evaluation

What do you dislike most about this product?

Melissa Data is diverse in setting valuable data management for quality reasons.

What recommendations would you give to someone considering this product?

Melissa Data is ideal in setting valuable data structures

Pros

Continually Improving Product
Reliable
Unique Features
Caring

Ben L.

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

Validated Review

Verified Reviewer

Submitted Nov 2022

Useful Data Quality App

Likeliness to Recommend

9 /10

What differentiates Melissa Data Quality Suite from other similar products?

Melissa Data is consistent in maintaining quality.

What is your favorite aspect of this product?

Melissa Data is efficient in collecting insightful details

What do you dislike most about this product?

Melissa Data has a robust way for data quality.

What recommendations would you give to someone considering this product?

Melissa Data embraces a transformational data safety.

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

Latest Research

Melissa Data Quality Suite

What is Melissa Data Quality Suite?

Company Details

Need Assistance?

Awards & Recognition

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

Melissa Data Quality Suite Ratings

88 Likeliness to Recommend

89 Plan to Renew

84 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+87 Net Emotional Footprint

How much do users love Melissa Data Quality Suite?

Pros

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

Dashboard Includes alerts and notifications, KPIs, visual analytics, and interactive features.

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Data Matching Includes fuzzy matching, data comparison, and data merging.

Record Deduplication Identity resolution is the process of linking various records and is the main engine for record deduplication, which can enable some aspects of data cleansing.

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling. such as address standardization and the correction of known invalid values.

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources .

Reporting Components Lightweight controls and components that are easily embeddable and reusable. Integration with common apps such as Word, Excel, etc.

Geocoding Includes geo-referencing, address validation and verification, data mapping, and data append.

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 Monitoring and Administration Includes ability to continuously monitored data quality rules, as well as generate alerts to notify data stewards when they need to address an issue.

Data Source Connectivity Includes abiity to connect to a wide selection of data source types and systems.

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

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

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.

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.

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.

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.

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 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.

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.

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.

Melissa Data Quality Suite Reviews

Danny R.

Distinguished Data System

Likeliness to Recommend

Pros

Sherry C.

Qualitative Data Structures

Likeliness to Recommend

Pros

Ben L.

Useful Data Quality App

Likeliness to Recommend

Pros

Most Popular Melissa Data Quality Suite Comparisons

Oracle Enterprise Data Quality

Talend Data Quality

SAS Data Quality

PiLog Data Quality and Governance Suite

IBM InfoSphere QualityStage

SAP Data Services

Title

1
Since last award

Feature Ratings

Dashboard

Data Profiling

Data Matching

Record Deduplication

Data Cleansing

Data Enrichment

Reporting Components

Geocoding

Record Management

Data Monitoring and Administration

Data Source Connectivity

Vendor Capability Ratings

Ease of IT Administration

Ease of Data Integration

Business Value Created

Breadth of Features

Usability and Intuitiveness

Quality of Features

Vendor Support

Ease of Implementation

Ease of Customization

Availability and Quality of Training

Product Strategy and Rate of Improvement