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What is Service Objects Name Validation?

Effective communication with leads and customers is crucial for any business. The process of Name Validation consists of 40 steps designed to help eliminate false or misleading names from your records. By implementing this process, businesses can avoid the embarrassment of sending out messages with incorrect personalizations to both customers and prospects. Ensuring the accuracy of names is not only vital for personalized communication but also serves as a reliable indicator of potentially fraudulent submissions on web forms. This Name Validation process checks both first and last names against a comprehensive global database that includes over 1.4 million first names and 2.75 million last names. Additionally, it addresses common errors and identifies irrelevant inputs before they become part of your database. Our real-time name validation and verification service enhances this by testing against a proprietary consumer database containing millions of entries, ultimately generating an overall score. This score can help your business effectively block or reject any dubious submissions, thereby maintaining a clean and accurate database. In an increasingly digital world, ensuring the integrity of customer data has never been more critical.

What is BiG EVAL?

The BiG EVAL solution platform provides powerful software tools that are crucial for maintaining and improving data quality throughout every stage of the information lifecycle. Constructed on a solid code framework, BiG EVAL's software for data quality management and testing ensures high efficiency and adaptability for thorough data validation. The functionalities of this platform are the result of real-world insights gathered through partnerships with clients. Upholding superior data quality across the entirety of your information's lifecycle is essential for effective data governance, which significantly influences the business value extracted from that data. To support this objective, the automation tool BiG EVAL DQM plays a vital role in managing all facets of data quality. Ongoing quality evaluations verify the integrity of your organization's data, providing useful quality metrics while helping to tackle any emerging quality issues. Furthermore, BiG EVAL DTA enhances the automation of testing activities within your data-driven initiatives, further simplifying the entire process. By implementing these solutions, organizations can effectively enhance the integrity and dependability of their data assets, leading to improved decision-making and operational efficiency. Ultimately, strong data quality management not only safeguards the data but also enriches the overall business strategy.

Media

Media

Integrations Supported

ASP.NET
Aster SQL-GR
C#
Java
Kylo
PHP
Python
Ruby on Rails
SAP Cloud Platform
Teradata VantageCloud
Visual Basic

Integrations Supported

ASP.NET
Aster SQL-GR
C#
Java
Kylo
PHP
Python
Ruby on Rails
SAP Cloud Platform
Teradata VantageCloud
Visual Basic

API Availability

Has API

API Availability

Has API

Pricing Information

$299/month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Service Objects

Date Founded

2001

Company Location

United States

Company Website

www.serviceobjects.com/name-validation/

Company Facts

Organization Name

BiG EVAL

Date Founded

2010

Company Location

Switzerland

Company Website

bigeval.com/platform/

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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