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What is DeDupeD?

DeDupeD is a cutting-edge application specifically tailored for Dynamics 365 that assists users in swiftly identifying and managing duplicate CRM data. By empowering organizations to effectively discover, prevent, and merge duplicate entries within Dynamics 365, this solution significantly improves the precision and quality of data management. With a more organized database, sales professionals can enhance their efficiency, steering clear of redundant tasks such as reaching out to the same customer multiple times due to overlapping records. This application alleviates the burdensome task of manually sifting through the CRM in search of duplicate entries, thus streamlining the data management process and saving valuable time. Ultimately, DeDupeD promotes a more structured and effective methodology for managing customer relationships, leading to improved interactions and outcomes. Its user-friendly interface further simplifies the experience, making it accessible for teams of all sizes.

What is DataMatch?

The DataMatch Enterpriseâ„¢ solution serves as a user-friendly tool for data cleansing, specifically designed to tackle challenges associated with the quality of customer and contact information. It employs an array of both unique and standard algorithms to identify inconsistencies that may result from phonetic similarities, fuzzy matches, typographical errors, abbreviations, and domain-specific variations. Users have the ability to implement scalable configurations for a variety of processes, including deduplication, record linkage, data suppression, enhancement, extraction, and the standardization of business and customer data. This capability is instrumental in helping organizations achieve a cohesive Single Source of Truth, which significantly boosts the overall effectiveness of their data management practices while safeguarding data integrity. In essence, this solution enables businesses to make strategic decisions rooted in precise and trustworthy data, ultimately fostering a culture of data-driven decision-making across the organization. By ensuring high-quality data, companies can enhance their operational efficiency and drive better customer experiences.

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Integrations Supported

Microsoft Dynamics 365
Act!
Act-On
Adobe Marketo Engage
Bullhorn
Eloqua
Google Ads
Google Analytics
Highrise
HubSpot Customer Platform
Magento
NetSuite
Oracle CRM On Demand
SAP Commerce Cloud
Salesforce
SendGrid
Sugar Sell
Veeva CRM
Zoho CRM
unTill

Integrations Supported

Microsoft Dynamics 365
Act!
Act-On
Adobe Marketo Engage
Bullhorn
Eloqua
Google Ads
Google Analytics
Highrise
HubSpot Customer Platform
Magento
NetSuite
Oracle CRM On Demand
SAP Commerce Cloud
Salesforce
SendGrid
Sugar Sell
Veeva CRM
Zoho CRM
unTill

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

Inogic

Date Founded

2006

Company Location

India

Company Website

www.inogic.com

Company Facts

Organization Name

Data Ladder

Date Founded

2006

Company Location

United States

Company Website

dataladder.com

Categories and Features

Categories and Features

Address Verification

Address Validation
Autocomplete
Automatic Formatting
Data Cleansing
Data Discovery
Data Quality Control
Data Verification
Geographic Maps
Geolocation
Metadata Management
Reporting / Analytics
Search / Filter

Data Quality

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

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