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Description
Data Quality Sense (DQS) is a fully integrated data quality application designed specifically for Salesforce by Tucario, enabling users to assess, track, and enhance the dependability of their CRM data without the need for data exports, as all operations occur within the Salesforce environment.
DQS evaluates your data across six key criteria — Completeness, Validity, Uniqueness, Consistency, Timeliness, and PII Detection — generating a comprehensive Data Quality Score at various levels including organization, object, and field. The intuitive no-code Definition Builder, structured as a five-step wizard, allows administrators to establish rules, while scheduled scans ensure that the data scores remain up to date, complemented by Insight Studio which highlights trends and assesses the health of data fields.
Furthermore, the application features automated PII detection that covers eight different patterns such as SSN, credit card numbers, IBAN, email addresses, IP addresses, and dates of birth, enabling organizations to identify and safeguard sensitive information prior to any potential breaches. As the demand for tools like Agentforce and AI continues to grow, DQS equips your Salesforce data for effective AI utilization, emphasizing that the quality of an AI agent is directly linked to the integrity of the data it operates on.
This innovative solution is readily accessible on the Salesforce AppExchange for interested users.
Description
DQV is the comprehensive data quality and testing platform developed by Kumaran Systems, catering to teams engaged in the movement, masking, or validation of substantial data volumes. This tool meticulously evaluates source and target datasets on a field-by-field basis, identifies discrepancies, and produces mismatch reports, eliminating the need for manual checks using spreadsheets.
The platform encompasses five key functionalities: it performs field-level comparisons while detecting drift, facilitates migration mapping between different schemas, offers deterministic PII masking, conducts record- and table-level validation with the ability for on-the-fly corrections, and generates synthetic data for teams lacking access to production data for testing.
DQV is compatible with a wide range of data sources, including SQL Server, Oracle, MySQL, PostgreSQL, AWS, Azure, GCP, flat files, JSON, XML, and REST APIs, and it seamlessly integrates with tools like Informatica, Databricks, and CI/CD pipelines, or can operate independently as a library or CLI tool.
In real-world applications, DQV has successfully validated an impressive 26.6 million bank records in less than 22 minutes, showcasing its efficiency and speed. Additionally, a free trial is offered, along with various licensing options, including individual, enterprise, and on-premises plans, ensuring flexibility for different organizational needs. This versatile solution not only enhances data integrity but also streamlines the testing process across multiple platforms.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Salesforce
No
Pricing Details
$1000
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
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
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Tucario
Founded
2025
Country
Poland
Website
dataqualitysense.com
Vendor Details
Company Name
Kumaran Systems
Founded
1992
Country
United States
Website
kumaran.com/products/dqv/
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
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No