
Quality Analytics
Increase straight-through document processing with data-driven insights


Analytics that will transform efficiency
Tailored specifically for enterprise workflows, our powerful Quality Analytics tool provides detailed insights and actionable recommendations to enhance your touchless processing rates and data extraction quality. By leveraging data-driven insights, businesses can achieve higher efficiency and improve overall outcomes. Optimizing processing with analytics not only streamlines operations but also empowers automation leads with the information needed to drive higher touchless processing rates and achieve automation goals. This results in reduced operational costs, faster turnaround times, and the ability to adapt to market changes with agility.
Advanced quality analytics provides deep understanding of document processing performance and guides enhancement through actionable insights and recommendations. You understand performance development and straight-through processing over time. You can quickly identify root causes and receive tailored recommendations for optimizing data extraction quality. All of this ensures continuous improvement of your processes and superior business outcomes within your intelligent document processing (IDP) workflow.
Illuminate every aspect of your document processing performance
Trend analysis for touchless processing
Monitoring and analyzing document processing trends is crucial for identifying performance patterns. By keeping a close eye on these trends, organizations can pinpoint areas for improvement, leading to enhanced efficiency and productivity. Leveraging these insights allows teams to make informed decisions, ultimately driving better outcomes and optimizing overall performance.
Misclassification diagnostics
Targeted recommendations provide accurate suggestions to address classification issues, ensuring that documents are categorized correctly every time. Misclassification leads to documents not being associated with the correct AI document model for extraction, resulting in missing or poor extraction results and the need for manual intervention. This precision not only enhances the efficiency of document processing but also reduces the likelihood of errors, ultimately saving time and improving overall workflow for users in any organization.
Data extraction quality spotlight
To optimize accuracy, it’s crucial to identify specific document sources, types, fields, and business rules that often need manual intervention. However, extraction quality can be influenced by various factors, including document quality and the effectiveness of model training. Addressing these aspects ensures more reliable and efficient processing.
Proactive notifications
Stay ahead of potential issues with real-time alerts that highlight areas needing attention. These alerts come equipped with recommended actions, allowing for swift resolutions to problems as they arise. By proactively addressing performance issues, you can ensure smoother operations and maintain optimal automation results.
Data visualization
The Vantage UI provides flexible analysis options, allowing users to analyze performance data seamlessly. Whether you prefer working within the intuitive Vantage interface or utilizing your chosen analytics tool, API integration ensures that you can access and interpret data in a way that suits your workflow and enhances decision-making.

Deepen your understanding of quality analytics
Demo
How to Use the ABBYY Vantage Quality Analytics Dashboard for STP Optimization
Access a comprehensive demonstration of the Quality Analytics dashboard in ABBYY Vantage.

Article
Pushing the Boundaries of Intelligent Document Processing
Learn how advanced AI models are enhancing the accuracy, speed, and versatility of document-centric tasks.

Whitepaper
The Inevitable Need for Understanding Content
Low-code/no-code tools are helping businesses improve data extraction, making it simpler to automate processes and speed up digital transformation.

Demo
How to Use the ABBYY Vantage Quality Analytics Dashboard for STP Optimization
Access a comprehensive demonstration of the Quality Analytics dashboard in ABBYY Vantage.

Article
Pushing the Boundaries of Intelligent Document Processing
Learn how advanced AI models are enhancing the accuracy, speed, and versatility of document-centric tasks.

Whitepaper
The Inevitable Need for Understanding Content
Low-code/no-code tools are helping businesses improve data extraction, making it simpler to automate processes and speed up digital transformation.

How quality analytics works
Utilizing quality and performance metrics enables smarter, data-driven optimization of your document processing. By monitoring performance, identifying root causes, and leveraging tailored recommendations, businesses can enhance touchless processing rates while reducing manual effort. Continuous process optimization ensures long-term success and adaptability in ever-evolving workflows. Quality analytics are a vital tool for achieving automation goals and driving superior outcomes in any organization.
- Monitor performance and identify root causes
- Get tailored recommendations
- Optimize processes continuously
Monitor performance and identify root causes
Continuously monitor performance results to ensure improvements are sustained over time and straight-through processing rates continue to grow. Quickly identify any decreases in quality and address them before they escalate. Analyze performance data from multiple angles to gain deeper insights and accurately determine the root causes, allowing for precise, effective solutions that drive lasting results.

Get tailored recommendations
Gain actionable, data-driven insights customized to your specific documents and processing quality, enabling higher touchless processing rates with minimal effort. By harnessing detailed analytics and tailored recommendations, you can optimize AI models for classification and data extraction, ensuring they deliver the quality and outcomes that you expect.

Optimize processes continuously
Regularly track performance metrics to adjust quality as processes and partnerships evolve. This approach helps maintain top performance while staying ahead with automated, cost-effective workflows that reduce the need for manual effort.

Intelligent document processing pipeline
Learn more about IDP and OCR
Checklist
5 Steps to Successful Intelligent Document Processing
Discover the power of IDP to make your automation robots smarter and your data extraction more efficient.

Article
NLP, LLMs, DeepML, and FastML: The AI Under the Hood of ABBYY Intelligent Document Processing
Explore about the cutting-edge AI that is built into each step of ABBYY’s intelligent document processing pipeline.
Article
OCR vs. IDP: What’s The Difference?
Learn about the key differences between what optical character recognition (OCR) offers versus a broader intelligent document processing (IDP) solution.
Checklist
5 Steps to Successful Intelligent Document Processing
Discover the power of IDP to make your automation robots smarter and your data extraction more efficient.

Article
NLP, LLMs, DeepML, and FastML: The AI Under the Hood of ABBYY Intelligent Document Processing
Explore about the cutting-edge AI that is built into each step of ABBYY’s intelligent document processing pipeline.
Article
OCR vs. IDP: What’s The Difference?
Learn about the key differences between what optical character recognition (OCR) offers versus a broader intelligent document processing (IDP) solution.
*The quality analytics data warehouse is available in ABBYY Vantage today, data visualization requires currently a third-party solution.
Quality analytics - frequently asked questions
What is straight-through processing (STP), and why is it important for my business?
How can the Quality Analytics dashboard assist in increasing our STP rates?
How flexible is data integration with existing analytics tools?
In what ways can tailored recommendations enhance touchless processing?
What are the most common reasons for low STP rates?
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