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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Industry experts estimate that as much as 20 percent of a business's contact information may be inaccurate, leading to issues such as returned mail, costs for address corrections, bounced emails, and inefficient marketing and sales endeavors. To address these challenges, the Data Quality Suite offers tools to standardize, verify, and correct contact information including postal addresses, email addresses, phone numbers, and names, ensuring effective communication and streamlined business processes. It boasts the capability to verify, standardize, and transliterate addresses across more than 240 countries, while also employing advanced recognition technology to identify over 650,000 ethnically diverse first and last names. Furthermore, it allows for the authentication of phone numbers and geo-data, ensuring that mobile numbers are active and reachable. The suite also validates domain names, checks syntax and spelling, and even conducts SMTP tests for comprehensive global email verification. By utilizing the Data Quality Suite, organizations of any size can ensure their data is accurate and up-to-date, facilitating effective communication with customers through various channels including postal mail, email, and phone calls. This comprehensive approach to data quality can significantly enhance overall business efficiency and customer engagement.

Description

NORMLZ is a tool designed for data normalization that effectively standardizes and rectifies inconsistent data within HubSpot. This software tackles the difficulties posed by large datasets where differing data formats can obstruct analysis, lead to ineffective campaigns resulting in potential revenue loss, and complicate reporting. It seamlessly integrates with your HubSpot account, and there are plans to extend support to Salesforce and Apollo in the future. The engine proficiently identifies and harmonizes variations, transforming entries like "CEO," "C.E.O," and "Chief Executive Officer" into a unified format. Additionally, it consolidates location information such as "New York," "NYC," and "New York City," while ensuring consistency in company names like "IBM Corp" and "IBM Corporation." With NORMLZ, users can enhance their data quality, leading to more accurate insights and improved decision-making.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

HubSpot CRM No 
IBM AIX Yes 
Microsoft Excel Yes 
Oracle Cloud Infrastructure Yes 
Oracle Solaris Yes 

Integrations

HubSpot CRM Yes 
IBM AIX No 
Microsoft Excel No 
Oracle Cloud Infrastructure No 
Oracle Solaris No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$5/month
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Melissa

Founded

1985

Country

United States

Website

www.melissa.com/data-quality-suite

Vendor Details

Company Name

HubProsper

Founded

2025

Website

normlz.com

Product Features

Address Verification

Address Validation No 
Autocomplete No 
Automatic Formatting No 
Data Cleansing No 
Data Discovery No 
Data Quality Control No 
Data Verification No 
Geographic Maps No 
Geolocation No 
Metadata Management No 
Reporting / Analytics No 
Search / Filter No 

Data Quality

Address Validation Yes 
Data Deduplication No 
Data Discovery No 
Data Profililng Yes 
Master Data Management Yes 
Match & Merge No 
Metadata Management No 

Email Verification

Bulk Email Verification Yes 
Catch-all Server Detection Yes 
Disposable Email Detection Yes 
Domain Check Yes 
Mail Server Validation No 
Single Email Verification Yes 
Spam Trap Detection Yes 
Syntax Check Yes 

Product Features

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

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