Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Customer information is ubiquitous in today's world, spanning across cell phones, social media platforms, IoT devices, customer relationship management systems, enterprise resource planning tools, and various marketing efforts. The sheer volume of data collected by companies is immense, yet it frequently remains underutilized, incomplete, or even inaccurate. Poorly managed and low-quality data can disrupt organizational efficiency, jeopardizing significant growth opportunities. It is essential for customer data to serve as a cohesive element connecting all business processes. Ensuring that this data is both reliable and readily available to everyone, at any time, is of utmost importance. The DQE One solution caters to all departments that utilize customer data, promoting high-quality information that fosters trust in decision-making. Within corporate databases, contact details sourced from different channels often accumulate, leading to potential issues. With the presence of data entry mistakes, erroneous contact details, and information gaps, it becomes vital to regularly validate and sustain the customer database throughout its lifecycle, transforming it into a dependable resource. By prioritizing data quality, companies can unlock new avenues for growth and innovation.
Description
The DataMatch Enterprise™ solution is an intuitive data cleansing tool tailored to address issues related to the quality of customer and contact information. It utilizes a combination of unique and standard algorithms to detect variations that are phonetic, fuzzy, miskeyed, abbreviated, and specific to certain domains. Users can establish scalable configurations for various processes including deduplication, record linkage, data suppression, enhancement, extraction, and the standardization of both business and customer data. This functionality helps organizations create a unified Single Source of Truth, thereby enhancing the overall effectiveness of their data throughout the enterprise while ensuring that the integrity of the data is maintained. Ultimately, this solution empowers businesses to make more informed decisions based on accurate and reliable data.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Act-On
No
Adobe Marketo Engage
No
Bullhorn
No
Eloqua
No
Google Analytics
No
HubSpot CRM
No
HubSpot Customer Platform
No
Magento
No
Mailchimp
No
Microsoft Dynamics 365
No
Integrations
Act-On
Yes
Adobe Marketo Engage
Yes
Bullhorn
Yes
Eloqua
Yes
Google Analytics
Yes
HubSpot CRM
Yes
HubSpot Customer Platform
Yes
Magento
Yes
Mailchimp
Yes
Microsoft Dynamics 365
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
DQE
Founded
2008
Country
United Kingdom
Website
dqe.tech/en/dqe-one/
Vendor Details
Company Name
Data Ladder
Founded
2006
Country
United States
Website
dataladder.com
Product Features
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No
Product Features
Address Verification
Address Validation
No
Autocomplete
No
Automatic Formatting
No
Data Cleansing
No
Data Discovery
No
Data Quality Control
No
Data Verification
No
Geographic Maps
No
Geolocation
No
Metadata Management
No
Reporting / Analytics
No
Search / Filter
No
Data Quality
Address Validation
No
Data Deduplication
Yes
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
Yes
Metadata Management
No