ADQT

Boost Data Integrity by 80% with Real-Time Validation

Your Comprehensive Tool for Seamless Data Quality Management

ADQT (Anblicks Data Quality Tool) is a comprehensive solution designed to improve data accuracy, completeness, and consistency. It integrates seamlessly with various data platforms and systems, offering flexible deployment options on both cloud and on-premises environments. With a user-friendly interface and customizable rules, ADQT enables organizations to proactively monitor and enhance data quality, ensuring reliable insights and improved business outcomes.

95%

Increase in data accuracy with reliable information

Boost in operational efficiency through streamlined data processes

43%

Reduction in cost associated with data correction and management

38%

Increase in compliance and regulatory measures

70%

Decrease in data errors and minimizing the need for manual error correction

Inaccurate Data

Inaccurate Data: ADQT ensures data accuracy and completeness, avoiding flawed analyses and poor decisions.

Integration Challenges

Seamlessly integrates with advanced platforms and resolves inconsistencies and errors that occur when consolidating data from multiple sources

Data Security Risks

Maintains high-quality data standards to minimize security risks and unauthorized access.

ADQT Edge

Comprehensive Data Management

ADQT combines profiling, cleansing, matching, and monitoring in a single, user-friendly platform to enhance data quality.

Scalable Deployment

Easily deployable on cloud or on-premises, ADQT integrates seamlessly with existing data ecosystems.

User-Friendly Interface

ADQT features an intuitive interface with customizable rules to elevate data quality and reduce risks.

Proactive Data Monitoring

Supports a shift-left approach, enabling real-time data quality testing for early issue detection.

Our Approach

Shift-Left Data Validation

Integrates data quality checks early in the data pipeline, enabling real-time testing during processing to promptly identify and address issues.

Customizable Quality Rules

Allows stakeholders to define data quality rules tailored to specific business needs, ensuring alignment with organizational objectives.

Proactive Monitoring

Utilizes an audit dashboard for continuous data quality monitoring, facilitating early detection and resolution of potential problems.

Seamless Integration

Supports integration with various data platforms and management systems, ensuring compatibility with existing data infrastructures.

User-Friendly Configuration

Offers an intuitive interface for easy setup and management, reducing the complexity of implementing data quality measures.

Solution Architecture

Bad data used to feel like a constant battle. With this platform, it’s like we’ve turned a corner. I’m finally confident in the quality of our reports within our risk assessment platforms, and our team is more efficient because we’re not spending hours fixing errors.

Data Governance Lead

Global Financial Institution

We used to spend weeks cleaning and validating product data before every campaign. Now, it’s a process we barely think about. It’s amazing how much smoother things run when you have a reliable system in place.