Projects
Systematic operation by unit and protection of customer informationDatabases
Simultaneous assessment of multiple databases within a project, supporting major DBMS platformsReview Rules
Enhancement of data quality levels through standardized and diverse quality rulesReview settings
Table- and column-level configuration with automated matching to maximize operational efficiencyReview Execution
Supports full or partial assessments with real-time monitoring for easy progress trackingReview Results
Automatic classification based on criteria, Validation result verification, and Excel report download for extended usabilityOptimized Design for Data Quality Validation
Leveraging Wisestone's extensive DQ Certification experience, StoneDQ is designed with optimized functionalities and workflows required for data quality validation.
Maximized Efficiency Through Specification-Based Workflow
Upload prepared specifications to minimize repetitive tasks and enhance overall efficiency.
Integrated Management of Projects and Databases
Consolidate multiple projects and databases into a single platform for faster and more efficient operations.
Minimized User Errors
Automatically matches data validation rules and settings, and provides powerful search and filtering options to reduce potential errors during validation.
Accurate and Comprehensive Data Validation Reports
Automatically aggregates and generates validation results, offering clear visibility into targets, grades, error rates, and erroneous data.
Standardized Procedures
Ensures transparency and reliability in the validation process through a systematic and standardized methodology.
Enhanced Transparency
Strengthens reliability by ensuring full disclosure of all processes.
Error Minimization
Prevents mistakes and omissions through systematic procedures.
Assured Trustworthiness
Maintains consistency of results based on objective standards.
Improved Quality
Continuously elevates the quality of data and overall business operations.
Increased Competitiveness
Enhances corporate value by securing high data quality.