.png)
Letting Data Speak!
Case Study
Enhancing Chat Bot Interactions Accuracy for Healthcare Platform
About the Client
A platform provider facilitating user-healthcare provider interactions, offering comprehensive reports on engagements across various mediums including calls, IVR, emails, and website interactions.
Challenge
The client needed to analyze and improve the accuracy of their chatbot interactions while managing large volumes of user conversation data efficiently. They required a seamless experience for reporting chatbot accuracy analysis using the Medallion architecture for ETL processes and Power BI for visualization.
Key Results
Improved chatbot accuracy by 10%, enhancing user experience and satisfaction
Reduced data processing time by 20%, enabling faster decision-making
Increased Power BI report performance by 3x through optimized back-end data processing
Developed a robust data ingestion pipeline, processing 5 GB of daily conversation data
Solution
The JashDS team implemented a comprehensive solution to address the client's chatbot accuracy analysis needs:
Designed and implemented fact and dimension tables in a star schema to support efficient Power BI reporting
Developed efficient data ingestion pipelines for user conversations with the chatbot, leveraging the Medallion architecture
Implemented daily data fetching and processing from the S3 bucket source
Conducted thorough data cleansing to address all edge cases, ensuring data accuracy and consistency
Stored processed data in the Gold layer for optimized reporting access
Completed all data processing in the back-end, significantly reducing the load on Power BI and enhancing its performance
Technologies Used
Azure
S3
Medallion architecture
Power BI
ETL (Extract, Transform, Load) processes
Other Case Study Items
Analytics SaaS Platform for the Hospitality Industry
JashDS developed a scalable, multi-tenant SaaS analytics platform for a hospitality client, consolidating data from disparate management systems and reducing data processing time by 75%. The solution incorporated advanced ETL pipelines, a secure data warehouse, and interactive dashboards, enabling rapid, data-driven decision-making across multiple hotel properties.
Revolutionizing Data Infrastructure for AI-Driven Green Energy Solutions
JashDS revolutionized a green energy tech company's data infrastructure by implementing a scalable Matillion-based ETL solution and automated CI/CD processes, resulting in 2-3x faster client onboarding and a 35% reduction in Google Cloud costs. The comprehensive solution included reusable components, optimized SQL queries, and efficient data aggregation techniques, enhancing the client's ability to process vast amounts of utility data from 40+ companies and support their AI-driven green energy initiatives.