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What is Melissa Clean Suite?

The Melissa Clean Suite, formerly known as Melissa Listware, is designed to tackle the challenge of inaccurate data within platforms like Salesforce®, Microsoft DynamicsCRM®, and Oracle CRM® and ERP systems. This solution not only verifies and standardizes customer contact information but also corrects and enhances records to ensure that your data remains clean and usable. With the ability to create pristine datasets, it empowers businesses to excel in omnichannel marketing and boost their sales performance. * Ensure contacts are accurately verified and autocompleted prior to entering the CRM system. * Enrich records with essential demographic information to enhance lead scoring, segmentation, and targeting strategies. * Maintain up-to-date and immaculate contact details to facilitate effective sales follow-up and marketing efforts. * Safeguard the integrity of your customer data through real-time data cleansing at the point of entry or through batch processing. In an era where data is pivotal for effective customer communication, decision-making, and analytical insights, having clean data is crucial. Neglecting this aspect can result in operational inefficiencies and distortions in understanding customer behavior.

What is Datagaps DataOps Suite?

The Datagaps DataOps Suite is a powerful platform designed to streamline and enhance data validation processes across the entire data lifecycle. It offers an extensive range of testing solutions tailored for functions like ETL (Extract, Transform, Load), data integration, data management, and business intelligence (BI) initiatives. Among its key features are automated data validation and cleansing capabilities, workflow automation, real-time monitoring with notifications, and advanced BI analytics tools. This suite seamlessly integrates with a wide variety of data sources, which include relational databases, NoSQL databases, cloud-based environments, and file systems, allowing for easy scalability and integration. By leveraging AI-driven data quality assessments and customizable test cases, the Datagaps DataOps Suite significantly enhances data accuracy, consistency, and reliability, thus becoming an essential tool for organizations aiming to optimize their data operations and boost returns on data investments. Additionally, its intuitive interface and comprehensive support documentation ensure that teams with varying levels of technical expertise can effectively utilize the suite, promoting a cooperative atmosphere for data management across the organization. Ultimately, this combination of features empowers businesses to harness their data more effectively than ever before.

Media

Media

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Integrations Supported

AWS Marketplace
DataOps DataFlow
Datagaps ETL Validator
Inte Q Genesis
Microsoft Dynamics 365
Oracle CRM On Demand
Salesforce
Syniti Data Connectivity
Syniti Knowledge Platform

Integrations Supported

AWS Marketplace
DataOps DataFlow
Datagaps ETL Validator
Inte Q Genesis
Microsoft Dynamics 365
Oracle CRM On Demand
Salesforce
Syniti Data Connectivity
Syniti Knowledge Platform

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Melissa

Date Founded

1985

Company Location

United States

Company Website

melissa.com

Company Facts

Organization Name

Datagaps

Date Founded

2010

Company Location

United States

Company Website

www.datagaps.com

Categories and Features

Data Quality

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

Categories and Features

Automated Testing

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Data Quality

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

ETL

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

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