BizdataBizdataIn today’s dynamic business environment, managing and extracting meaningful data from diverse document formats is more challenging than ever. With 60% of corporate data being unstructured and residing in various systems outside of enterprise applications, such as Dropbox, MS SharePoint, Box Cloud, Amazon S3, Google Cloud Storage, and more, efficient document understanding is crucial.
Across industries like Insurance, Construction, Pharmaceuticals, Medical Devices, and Telecom, there’s a pressing need to handle structured, unstructured, and semi-structured documents seamlessly.
Various industries, including Law, Medical Devices, Pharmaceuticals, Accounting, Financial Services, Human Resources, Supply Chain Management, Manufacturing, Public Sector, Insurance, Construction, and Telecom, have specific use cases for document understanding.
• Content Understanding: Utilizes NLP to extract and organize data.
• Formatting Recognition: Uses advanced pattern recognition for accurate data extraction despite formatting issues.
• Efficient Processing: Automates extraction from lengthy documents for quick processing.
• Real-time Insights: Employs machine learning for timely data extraction.
• Handwriting Recognition: Interprets and extracts handwritten content.
• Image Enhancement:Enhances document quality for accurate extraction.
• Data Security: Ensures secure handling of sensitive information.
• Scalability: Manages large volumes of documents seamlessly.
• Reduction in Errors: Improves accuracy and decision-making.
• Better Compliance: Ensures adherence to regulatory standards.
• Resource Optimization: Frees up resources from manual tasks.
• Data Insights: Allows for analysis and insights from data.
• System Integration: Integrates unutilized information into other business apps and processes.