Sentiment Analysis Databricks - Impetus

Sentiment Analysis Accelerator: Decode and Deliver Better Customer Experience

Turn news and customer feedback into real-time, actionable insights with Impetus’ GenAI-powered sentiment analysis—deployed seamlessly on the Databricks Lakehouse.

Impetus Sentiment Analysis Accelerator: Real-time AI for Smarter Decisions

A Databricks-native solution from Impetus that enables enterprises to analyze sentiment at scale, across internal and external data sources, with powerful conversational AI.

Real-time sentiment scoring from news, surveys, and social media

Automated pipelines for classification and feedback processing

RAG-based conversational assistant for natural language insights

Seamless deployment on the Databricks Lakehouse for unified data access

Integration with collaboration tools like Microsoft Teams

Enterprise-grade governance with Unity Catalog and MLflow

Multilingual, region-specific sentiment insights

Configurable models tailored to industry-specific use cases

  • Analyze unstructured feedback from tweets, surveys, reviews, and operational systems
  • Automatically categorize comments by aspect (e.g., product, service, experience)
  • Identify emerging patterns and themes before they impact performance
  • RAG-powered assistants deliver query-driven insights in natural language
  • Embed directly within collaboration tools for instant visibility and faster responses
  • Provide automated narrative summaries highlighting top issues and bright spots
  • Track model performance and prompt evolution through MLflow integration
  • Ensure consistent compliance and data lineage with Unity Catalog
  • Continuously fine-tune models for improved accuracy and reliability
  • Built natively on Databricks for unified data, analytics, and AI workflows
  • Supports both POC-level experimentation and full-scale production rollouts
  • Modular, cost-efficient architecture adaptable to any enterprise ecosystem

Real-world success stories

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Top U.S. Hospitality Brand

Real-time sentiment scoring from surveys and operational data improved customer responsiveness
Conversational assistant gave employees natural language access to insights, speeding up decision-making
Automated pipelines streamlined categorization of guest feedback, reducing manual intervention
Enhanced operational efficiency and guest satisfaction by turning raw feedback into actionable insights

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Fortune 500 Global BFSI Firm

Predicted upcoming product demand by analyzing trends in global financial news and Twitter data
Improved marketing strategies with real-time understanding of public perception and regional sentiment
Automated feedback classification and scoring, reducing manual analysis time from days to minutes
Enabled leadership to act quickly on sentiment-driven insights, boosting customer trust and product adoption

Services and Solutions to Power the Intelligent EnterpriseTM

Launch your Intelligent Enterprise with Impetus and Databricks today!