A U.S.-based Fortune 500 bank wanted to offload their Teradata-based Marketing Campaign Process (MCP) to Hadoop. Impetus designed a hybrid big data-based cloud solution for the end-to-end transformation of workloads from Teradata to a modern Hadoop-based data lake architecture.
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Cable TV service providers across the world are facing immense competition for customer retention and new customer acquisition, not only from traditional players, but also from a new breed of digital players.
StreamAnalytix provided this US based cable TV and telecom provider a real-time 360-degree view of its customers, enabling micro segmentation and targeting, dynamic marketing campaigns, and contextualized customer service for enhanced customer experience across touch points.
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.
Insider threat is one of the biggest cybersecurity risks to banks today. Not taking appropriate measures to control insider threats, poses as much of a risk as an external factor such as hacking, especially in a highly regulated industry like banking.
StreamAnalytix helped this large bank to identify and prevent insider information security threats through use of predictive analytics and machine learning, to automatically and effectively detect previously unknown threat scenarios and patterns, and raise appropriate alerts and actions to prevent predicted breaches.
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.
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.
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.
StreamAnalytix enabled a major telecom operator to perform real-time, multi-lingual classification and sentiment analysis of text data.
The platform enabled: