Melissa Data Quality Suite Features

As reported in 19 Melissa Data Quality Suite reviews. Correctly identify inaccurate, incomplete, or duplicated data from a data source.

As reported in 20 Melissa Data Quality Suite reviews. Utilize deletion, modification, appending, merging, or other methods to correct bad data.

Standardize data formatting for uniformity and easier data usage. 19 reviewers of Melissa Data Quality Suite have provided feedback on this feature.

Clean data as it enters the data source to prevent mixing bad data with cleaned data. 18 reviewers of Melissa Data Quality Suite have provided feedback on this feature.

Finds duplicates using the fuzzy logic technology or an advance search feature. 14 reviewers of Melissa Data Quality Suite have provided feedback on this feature.

Provide follow-up information after data cleanings through a visual dashboard or reports. 18 reviewers of Melissa Data Quality Suite have provided feedback on this feature.

As reported in 16 Melissa Data Quality Suite reviews. Automatically run data identification, correction, and normalization on data sources.

As reported in 13 Melissa Data Quality Suite reviews. Schedule automated audits to identify data anomalies over time based on set business rules.

Gives a view of the entire data quality management ecosystem. 13 reviewers of Melissa Data Quality Suite have provided feedback on this feature.

As reported in 12 Melissa Data Quality Suite reviews. Allows user role-based access and actions to authorization for specific tasks.

Validate phone numbers accurately including formats, country codes and area codes.

Screen phone numbers against blacklists and blockages to prevent verification attempts from known fraudulent personas.

Scale to handle verification requests to accommodate growth and peak call times without affecting performance.

Protect user data during verification process using encryption and secure transmission protocols.

Offer customizable options for verification workflows to tailor to business specific needs and preferences.

Integrate with existing systems and other verification applications via APIs or SDKs for smooth workflows.

Comply with relevant data protection regulations such as GDPR or HIPAA.

Share reporting and analytics tools to track verification performance, monitor usage of tools and identify areas for improvement.

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input