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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.

What is DQ on Demand?

Tailored for the Azure environment, DQ on Demandâ„¢ delivers exceptional performance and scalability that stands out in the market. The platform allows for effortless transitions between data providers, enhancing your customer data through a flexible pay-as-you-go model by utilizing our web services, which function as an intuitive data quality marketplace. Users can access a variety of data services, including data cleansing, enrichment, formatting, validation, verification, and transformations. Simply connect to our web-based APIs to unleash these capabilities. This adaptability enables you to switch data providers with ease, giving you the autonomy to select the most suitable options for your requirements. Comprehensive developer documentation is available, facilitating a seamless integration journey. You only incur costs for the services you actually use, with the option to purchase credits and allocate them according to your needs. The setup process is designed to be straightforward and user-friendly, enhancing accessibility for all users. Additionally, all features of DQ on Demandâ„¢ can be effortlessly integrated into Excel, providing a familiar low-code or no-code solution. Furthermore, our DQ PCF controls ensure that your data is precisely cleansed within MS Dynamics, significantly boosting your data management capabilities. The synergy of these features guarantees that your data quality is consistently high while optimizing operational efficiency, making DQ on Demandâ„¢ an indispensable tool for data-driven organizations. This holistic approach not only elevates data quality but also enhances the overall user experience.

Media

Media

Integrations Supported

Act!
Eloqua
Google Ads
Highrise
HubSpot CRM
HubSpot Customer Platform
Magento
Microsoft Azure
Microsoft Dynamics 365
Microsoft Power Apps
NetSuite
NetSuite CRM
Oracle CRM On Demand
SAP Commerce Cloud
Salesforce
Salesforce Agentforce Marketing
Sugar Sell
Veeva CRM
Zoho CRM
unTill

Integrations Supported

Act!
Eloqua
Google Ads
Highrise
HubSpot CRM
HubSpot Customer Platform
Magento
Microsoft Azure
Microsoft Dynamics 365
Microsoft Power Apps
NetSuite
NetSuite CRM
Oracle CRM On Demand
SAP Commerce Cloud
Salesforce
Salesforce Agentforce Marketing
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

Data Ladder

Date Founded

2006

Company Location

United States

Company Website

dataladder.com

Company Facts

Organization Name

DQ Global

Date Founded

1997

Company Location

United Kingdom

Company Website

www.dqglobal.com/products/dq-on-demand/

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

Categories and Features

Data Quality

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

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