Remove Analytics Remove Document Remove Metrics
article thumbnail

Conversational Analytics: Powerful Data Behind Business Transformation

InMoment XI

When you analyze the natural language interactions between customers and an organization, conversational analytics unlocks a wealth of insights that can be used to resolve issues faster, enhance agent performance, reduce costs, and demonstrate the value of customer service investments. What is Conversational Analytics?

Analytics 195
article thumbnail

InMoment named Leader in Forrester Wave™: Text Mining and Analytics, Q2 2024: A Comprehensive Breakdown

InMoment XI

InMoment is excited to announce its recognition as a Leader in the Forrester Wave : Text Mining and Analytics, Q2 2024. For some context , The Forrester Wave Text Mining and Analytics, Q2 2024 report is a rigorous evaluation of the top text mining and analytics providers.

Analytics 195
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Transitioning off Amazon Lookout for Metrics 

AWS Machine Learning

Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required. To learn more, see the documentation.

Metrics 84
article thumbnail

User Feedback for SaaS: Best Practices & Tools for Business Success

InMoment XI

What User Feedback Metrics Are Essential for a SaaS Company to Track? Net Promoter Score Churn Rate Customer Lifetime Value Retention Rate Customer Satisfaction Score Free-to-Paid Conversion Rate Customer Effort Score Activation Rate Lead Conversion Rate Customer feedback metrics provide data-driven insight into user activity and engagement.

Tools 195
article thumbnail

The Health of the Contact Center: Are You Ready for 2019?

A survey of 1,000 contact center professionals reveals what it takes to improve agent well-being in a customer-centric era. This report is a must-read for contact center leaders preparing to engage agents and improve customer experience in 2019.

article thumbnail

Intelligent document processing with AWS AI and Analytics services in the insurance industry: Part 2

AWS Machine Learning

In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. We discussed how we can use AWS AI services to accurately categorize claims documents along with supporting documents. Part 1: Classification and extraction of documents.

article thumbnail

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. This task involves answering analytical reasoning questions.