Case Studies

Real-Time Driver Profiling & Risk Assessment for Usage-based Insurance with StreamAnalytix

Real-Time Driver Profiling & Risk Assessment for Usage-based Insurance with StreamAnalytix

Auto insurance companies are increasingly investing in garnering data driven insight to offer simplified, transparent, and flexible products and pricing options.

This leading auto insurance provider chose StreamAnalytix to ingest, transform, enrich, analyze and store automotive telematics data in real time to build an end-to-end analytics application for driver profiling & individual risk assessment; and subsequently offer dynamic, usage based, plans to its customers.

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Top US Airline Boosts Customer Experience Across Channels with StreamAnalytix

Top US Airline Boosts Customer Experience Across Channels with StreamAnalytix

Airlines today have access to a wealth of customer data. The ability to analyze this data in real-time can lead to revenue enhancement and effective customer experience management.

StreamAnalytix enabled this major US airline to efficiently manage, analyze, and draw actionable real-time insight from its continuously growing and complex customer and operational data.

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A leading Contact Centre builds a Real-Time Call Center Monitoring Solution with StreamAnalytix

A leading Contact Centre builds a Real-Time Call Center Monitoring Solution with StreamAnalytix

Call centers process millions of minutes of calls per day across vast distributed networks around the globe. Real-time monitoring of the IVR system can be a challenge considering the sheer magnitude and the need for reporting at an operational and customer level.

A tier 1 US based contact center deployed a new call center infrastructure monitoring system with StreamAnalytix that allows a unified view and analysis of events scattered in different media servers and networks across vast geographies in real-time.

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Hyper-Scale Data Processing and Storage Using StreamAnalytix

Hyper-Scale Data Processing and Storage Using StreamAnalytix

Real-time analytics on streaming data can help enterprises offer contextual customer interactions in the moment and drive operational efficiency.

Impetus conceived and implemented a hyper-scale Stock Ticker application to demonstrate real time processing, storage and visualization of huge volumes of stock-tick data. The use case was applied to stock ticker data being streamed from over 80 different global exchanges and various sources.

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Real-Time Multi-Lingual Classification and Sentiment Analysis of Text Using StreamAnalytix

Real-Time Multi-Lingual Classification and Sentiment Analysis of Text Using StreamAnalytix

StreamAnalytix enabled a major telecom operator to perform real-time, multi-lingual classification and sentiment analysis of text data.

The platform enabled:

  • Rapid and accurate real-time text categorization and sentiment analysis
  • Adjustable text categorization for domain-specific classes
  • Multi-lingual support
  • Enhanced sentiment analysis to focus on feature-specific opinion mining

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Leading US Telecom company saves 5 Million annually with a New Agent Monitoring System

Leading US Telecom company saves 5 Million annually with a New Agent Monitoring System

Real-time monitoring is a far more effective way to track agent performance in contact centers than analyzing a small sample of randomly collected calls.

A leading, US based, telecom provider deployed a real-time agent monitoring system with StreamAnalytix, which created cost savings of $5 million through measuring and improving agent performance on key business metrics like average handling time, first call resolution, sale close rate, and disconnect save rate.

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Teradata Cost Optimization by Transforming Batch and Ad hoc Workloads to Hadoop

Teradata Cost Optimization by Transforming Batch and Ad hoc Workloads to Hadoop

Reduce Costs with Data Transformation

Impetus helped a U.S.-based multinational retail chain optimize their data warehouse architecture and reduce the current cost of enterprise data warehouse. The solution helped to transform batch applications and ad-hoc uses that consumed expensive Teradata cycles to Hadoop/ Hive.

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Automated Translation of Complex Netezza Procedures to Hadoop

Automated Translation of Complex Netezza Procedures to Hadoop

Cost-Effective Workload Transformation

Impetus helped a leading cable service provider minimize data and workload transformation cost with tool-based transformation. The solution used workload transformation solution to transform Netezza procedures into Hive compatible scripts with 88% auto conversion package.

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Automated Workload Transformation from Netezza to Big Data

Automated Workload Transformation from Netezza to Big Data

A major cable company needed to offload its Netezza workloads completely. Impetus helped them do it by transforming to a Hadoop-based storage and retrieval solution. Learn how the Impetus solution significantly minimized data and workload transformation costs and freed up capacity on their heavily constrained EDW.

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Automated Netezza to Cloud Transformation

Automated Netezza to Cloud Transformation

A government-sponsored enterprise in the mortgage business needed to move to a modern data lake-based architecture. Impetus helped them transition away from Netezza and to the cloud while realizing significant savings in both time and money.

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