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Infogain implements Interactive Business Intelligence (BI) Tool for Trilogy

Published in Technology Thursday, 29 March 2018 16:27

 
 
 Infogain, a leading provider of technology solutions and services has partnered with Trilogy, a US-based enterprise-class software and service solutions provider to Global 1000 companies in the automotive industry. Infogain implemented an Interactive BI Tool for Trilogy’s Enterprise Lead Management System (ELMS).
 
Trilogy’s ELMS delivers the highest closing new and used vehicle leads with transparency and best-in-class customer service. Infogain built a web based BI dashboard that provided end-to-end analysis and basic analytics of Lead performance along with operational day-to-day reports. Additionally, the solution is scalable and designed to handle ongoing maintenance and enhancements and new developments in a timely, yet cost effective manner.
 
“Infogain’s smart Business Intelligence engineering provided comprehensive design, product management, development and QA that accelerated our delivery of go-to-market BI solutions for our automotive customers. The Infogain team delivered focused agile development methodology and immaculate BI technology.” said Biren Shah, Director of Product –Automotive, Trilogy.
 
Nisha George, Senior Practice Leader – BI & Analytics at Infogain said, “With the automotive industry aggressively embracing analytics for superior results, the client was looking to enhance the functionality of its ELMS product by developing an interactive Business Intelligence (BI) Product. Infogain developed a user-friendly dashboard that could be integrated with the ELMS CRM Product to address the business challenges like managing and tracking leads across the lifecycle.”
Trilogy received many business benefits with Infogain’s BI tool, including increased retail sales through data-driven insights, and an uptick in customer engagement, retention and lifetime value. Other benefits include improved reporting and operational efficiency through a single interface for operational analytics.
 
Click to download the case study – http://bit.ly/2GgNV3p
 

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