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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 Datagaps ETL Validator?

DataOps ETL Validator is a comprehensive solution designed for automating the processes of data validation and ETL testing. It provides an effective means for validating ETL/ELT processes, simplifying the testing phases associated with data migration and warehouse projects, and includes a user-friendly interface that supports both low-code and no-code options for creating tests through a convenient drag-and-drop system. The ETL process involves extracting data from various sources, transforming it to align with operational requirements, and ultimately loading it into a specific database or data warehouse. Effective testing within this framework necessitates a meticulous approach to verifying the accuracy, integrity, and completeness of data as it moves through the different stages of the ETL pipeline, ensuring alignment with established business rules and specifications. By utilizing automation tools for ETL testing, companies can streamline data comparison, validation, and transformation processes, which not only speeds up testing but also reduces the reliance on manual efforts. The ETL Validator takes this automation a step further by facilitating the seamless creation of test cases through its intuitive interfaces, enabling teams to concentrate more on strategic planning and analytical tasks rather than getting bogged down by technical details. Consequently, it empowers organizations to enhance their data quality and improve operational efficiency significantly, fostering a culture of data-driven decision-making. Additionally, the tool's capabilities allow for easier collaboration among team members, promoting a more cohesive approach to data management.

Media

Media

Integrations Supported

ASP.NET
Azure Databricks
Azure Synapse Analytics
C#
Datagaps DataOps Suite
Java
Microsoft Power BI
Oracle Analytics Cloud
PHP
Python
Ruby on Rails
Salesforce
Snowflake
Tableau
Visual Basic

Integrations Supported

ASP.NET
Azure Databricks
Azure Synapse Analytics
C#
Datagaps DataOps Suite
Java
Microsoft Power BI
Oracle Analytics Cloud
PHP
Python
Ruby on Rails
Salesforce
Snowflake
Tableau
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

Datagaps

Company Location

United States

Company Website

www.datagaps.com/etl-validator/

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

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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