Melissa Data Quality Suite

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Melissa Data Quality Suite
Score 9.2 out of 10
N/A
The Data Quality Suite from Melissa headquartered in San Margarita, helps organizations of all sizes verify and maintain data so they can effectively communicate with their customers via postal mail, email or phone.N/A
Pricing
Melissa Data Quality Suite
Editions & Modules
No answers on this topic
Offerings
Pricing Offerings
Melissa Data Quality Suite
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details
More Pricing Information
Features
Melissa Data Quality Suite
Data Quality
Comparison of Data Quality features of Product A and Product B
Melissa Data Quality Suite
8.3
1 Ratings
5% below category average
Data source connectivity8.01 Ratings
Data profiling9.01 Ratings
Master data management (MDM) integration8.01 Ratings
Data element standardization8.01 Ratings
Match and merge8.01 Ratings
Address verification9.01 Ratings
Best Alternatives
Melissa Data Quality Suite
Small Businesses
HubSpot Operations Hub
HubSpot Operations Hub
Score 8.0 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
All AlternativesView all alternatives
User Ratings
Melissa Data Quality Suite
Likelihood to Recommend
9.0
(1 ratings)
User Testimonials
Melissa Data Quality Suite
Likelihood to Recommend
Melissa
The platform is best suited for detailed exploration and filtering that allow users to examine the specific records
that pass or fail a criterion and how they might relate to each other. It also assist in seeing past jobs and compare how quality has changed, providing
more context than just point values.
Read full review
Pros
Melissa
  • It provides ability to profile, discover, and validate data quality.
  • It allows to drill down into larger amounts of data.
  • It automatically suggests possible quality rules based on a statistical profile of the data.
Read full review
Cons
Melissa
  • It can expand connectivity to apply adaptive data quality rules to any data source.
  • It can employing more advanced transformation techniques to transform data for specific formats.
  • It can further continue on its existing capabilities like providing more enriched data curation.
Read full review
ScreenShots