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What is RingsTrue?

RingsTrue is a powerful application tailored for Salesforce that ensures the accuracy, proper formatting, and validation of telephone number information across the platform. It adeptly standardizes a variety of phone types, including mobile, landline, and fax numbers, by applying internationally recognized formatting, removing extraneous characters, and adding the appropriate country codes. The application effectively detects missing or inconsistent numbers, such as mismatches between the phone's country code and the associated geographical location, and it provides the option for both real-time validation and scheduled batch processing. Upon completion of its operations, RingsTrue produces detailed reports that outline the number of entries that have been cleaned, updated, or validated, organized by object type and overall precision. This insightful data allows users to concentrate their outreach efforts on active numbers, ensuring that the contact information within Salesforce maintains the highest standards of quality with minimal manual effort. By simplifying the management of phone number data, RingsTrue not only improves the accuracy of contact details but also significantly boosts the effectiveness of an organization’s communication strategies. Ultimately, the application serves as an essential tool for enhancing data integrity and operational efficiency.

What is Data Quality on Demand?

Data plays a vital role in multiple sectors of a business, such as sales, marketing, and finance. To fully leverage this data, it's important to maintain its integrity, protect it, and manage it effectively throughout its entire lifecycle. At Uniserv, we believe that data quality is a core principle of our identity and the services we offer. Our customized solutions convert your customer master data into a crucial asset for your business. The Data Quality Service Hub ensures that your customer data remains of the highest quality across all locations within your organization, including those overseas. We offer services that align your address information with international standards, utilizing the best reference data available. Furthermore, we validate email addresses, phone numbers, and banking information with meticulous attention to detail. If your data has duplicate entries, we can quickly pinpoint them according to your defined business requirements. Often, the identified duplicates can be merged automatically using predefined rules or categorized for manual assessment, which promotes an efficient data management workflow that boosts operational productivity. This thorough strategy for ensuring data quality not only aids in compliance but also builds trust and credibility in your customer relationships, ultimately leading to stronger business outcomes. An unwavering commitment to data quality fosters a culture of accountability within the organization, encouraging all departments to prioritize accurate data handling.

Media

Media

Integrations Supported

SAP Store
Salesforce

Integrations Supported

SAP Store
Salesforce

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

Cloud Ursa

Date Founded

2016

Company Location

United Kingdom

Company Website

cloudursa.com/apps-2/ringstrue/

Company Facts

Organization Name

Uniserv

Date Founded

1969

Company Location

Germany

Company Website

www.uniserv.com/en/business-cases/customer-data-management/data-quality/

Categories and Features

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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