Introducing VentureArmor’s Data Structure Engine
VentureArmor has developed innovative industry-leading unstructured data processing capabilities that leverage the latest advances in Generative AI to convert unstructured, poorly structured, and improperly structured data into a variety of clean and well structured formats. Applications include:
Call Center Customer Interaction Analysis
This system is capable of ingesting call-related audio and video files, and returning rich structured data highlighting the contents of each call. Insights generated include:
- Agent Adherence to Scripts
- Agent Active Listening
- Agent Empathy
- Agent Problem Solving Ability
- Product and Operational Insights
- Customer Satisfaction
- Customer Issue Resolution
- Compliance Alerts (e.g. Safety Messaging)
- Imputed Net Promoter Score (NPS) For Every Call (coming soon)
Unlocking these AI-distilled insights within your customer data enables a multitude of end-applications that deliver massive value. Overall, this workflow provides a powerful tool for businesses to gain valuable insights from their call center interactions and drive data-driven decision-making.
- Agent Performance: Customer service departments can utilize the workflow to monitor agent performance and identify areas for improvement, ultimately enhancing customer satisfaction.
- Marketing Campaign Improvements: Marketing teams can use the insights gathered from key words and sentiment analysis to tailor campaigns and better understand their target audience.
- Compliance: This system can help ensure compliance with strict industry regulations, reducing the risk of penalties and maintaining a positive brand reputation.
Master Data Management (MDM)
The application of Generative AI technology to master data management (MDM) can significantly improve data quality, consistency, and accuracy. By leveraging AI capabilities, this technology can automate various MDM tasks, enhancing efficiency and reducing human errors. Application areas include:
- Cleansing & Standardization: This AI system can analyze and identify inconsistencies, duplicates, or inaccuracies in data sets, and automatically correct or flag them for review. This ensures that master data is reliable and up-to-date, enabling better decision-making and analytics.
- Quality Governance: This AI system can also facilitate improved data governance by monitoring data quality and compliance with regulatory requirements. It can detect potential compliance issues and alert relevant stakeholders, ensuring that master data adheres to company and industry standards.