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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 Validator (DQV)?

DQV is an all-encompassing platform for data quality and testing, designed by Kumaran Systems, specifically for teams managing, masking, or validating large datasets. This sophisticated tool systematically assesses both source and target datasets on a granular level, pinpointing inconsistencies and generating comprehensive mismatch reports, thereby removing the necessity for tedious manual verification through spreadsheets. It boasts five essential features: it conducts field-level comparisons while identifying drift, enables migration mapping across diverse schemas, provides deterministic PII masking, performs validation at both record and table levels with the capability for immediate corrections, and creates synthetic data for teams without access to production environments for testing purposes. DQV supports a variety of data sources, such as SQL Server, Oracle, MySQL, PostgreSQL, AWS, Azure, GCP, flat files, JSON, XML, and REST APIs, and it integrates effortlessly with tools like Informatica, Databricks, and CI/CD pipelines. Alternatively, it can function independently as a library or command-line interface tool. In practical scenarios, DQV has demonstrated impressive performance by successfully validating 26.6 million bank records in under 22 minutes, underscoring its remarkable efficiency. Furthermore, it offers a free trial along with diverse licensing choices, including individual, enterprise, and on-premises plans, catering to the varied needs of organizations. This adaptable solution not only improves data integrity but also simplifies the testing workflow across multiple platforms, making it an invaluable asset for data management teams.

Media

Media

No images available

Integrations Supported

Salesforce

Integrations Supported

Salesforce

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

Kumaran Systems

Date Founded

1992

Company Location

United States

Company Website

kumaran.com/products/dqv/

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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