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EXL achieves Leader placement and Star Performer recognition for second straight year in Everest Group PEAK Matrix™ for Analytics BPS

EXLS

NEW YORK, June 05, 2017 (GLOBE NEWSWIRE) -- EXL (NASDAQ:EXLS), a leading Operations Management and Analytics company, today announced it has achieved placement as a Leader and Star Performer for its second consecutive year in the “Everest Group PEAK Matrix™ Assessment 2017 for Analytics BPS.”

For this report, Everest Group classified 18 analytics BPS service providers into Leaders, Major Contenders and Aspirants. The PEAK Matrix framework focuses on the market share, key strengths and development area for each service provider.

“EXL demonstrated impressive growth from last year, expanding both the gambit of clients that it serves, and the services that it provides for them,” said Anupam Jain, Practice Director of BPS Research, Everest Group. “EXL’s well-thought out acquisition strategy in analytics, investments, and existing analytics solutions help it retain and justify its position as a “Leader” on the PEAK Matrix.” 

The report cited several of EXL’s strengths, including:

  • Investments in acquisitions that strengthen capabilities and expand its reach into new markets;
  • Partnerships with academic institutes and universities to offer courses in analytics and acquire high-quality talent;
  • Research and development into industry-specific solutions for areas including IoT, Big Data products and architecture, and robotics and advanced automation;
  • Investment in significant IP within analytics to stay ahead of the competition; and
  • Strong predictive analytics capabilities, high quality of work, and adaptability  

Vivek Jetley, Senior Vice President and Co-Head, EXL Analytics said, “Being placed as a Leader and Star Performer for the second year in a row on the Everest Group PEAK Matrix™ validates our investments in end-to-end offerings across the analytics value chain, from data integration to analytics to outcome.”

“We are pleased to be recognized by Everest Group as a premier BPS service provider,” said Ankor Rai, Senior Vice President and Co-Head, EXL Analytics. “Our emphasis on combining talented data scientists with best-in-class analytics products keeps us at the cutting edge of analytics solutions that helps drive transformational change for our customers.”

EXL Analytics provides data-driven, action-oriented, and industry-specific solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. EXL’s leading global footprint of data scientists and analysts assist client organizations with data strategy, infrastructure and management, business intelligent solutions and a deep array of predictive modeling products and services such as: complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and resource optimization.

About EXL
EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. For more information, visit www.exlservice.com.

Media Contact: Michael Sherrill Vice President, Marketing 646-419-0778 michael.sherrill@exlservice.com Investor Relations Contact: Steven Barlow Vice President, Investor Relations 212-624-5913 Steven.Barlow@exlservice.com

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