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Report information:

Genpact - Big Data and Analytics Services

Vendor Analysis

by Dominique Raviart

published on Nov 22, 2016

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Report Overview:

This NelsonHall vendor assessment analyzes Genpact's offerings and capabilities in Big Data and Analytics Services.

Who is this Report for:

NelsonHall’s Big Data & Analytics Services Vendor Assessment for Genpact is a comprehensive assessment of Genpact’s big data, analytics, enterprise data warehousing and BI offerings and capabilities designed for: 

  • Sourcing managers monitoring the capabilities of existing suppliers of IT services and identifying vendor suitability for big data & analytics services 
  • Vendor marketing, sales and business managers looking to benchmark themselves against their peers 
  • Financial analysts and investors specializing in the big data & analytics services sector. 

Scope of this Report:

The report provides a comprehensive and objective analysis of Genpact’s big data and analytics offerings, capabilities, and market and financial strength, including:

  • Analysis of the company’s offerings and key service components, accelerators, and “platforms” 
  • Revenue estimates
  • Identification of the company’s strategy, emphasis and new  developments
  • Analysis of the profile of the company’s customer base including the  company’s targeting strategy 
  • Analysis of the company’s strengths, weaknesses and outlook.

 

Key Findings & Highlights:

Genpact provides analytics services mostly through its Analytics &  Research (A&R) service line. A&R is a horizontal service line within Genpact, along with F&A, sourcing and procurement, core operations, and consulting and IT services. A&R has its own P&L and responsibility for sales, delivery, solutioning, and service portfolio management.  

A&R provides both IT services and BPS relating to big data and analytics (BDA).  

A&R aims to:

  • Rely on its vertical (e.g. BFSI and manufacturing) and domain  knowledge in key sectors, complemented by Genpact's digital capabilities, to provide BDA services 
  • Use standalone analytics, whether BPS or IT services, as a foot in the door with new logos/new lines of business 
  • Be consulting-led, through interactions and relationships at the CXO level, again based on its domain knowledge 
  • Focus on solving business problems, rather than providing statistical expertise 
  • Embed analytics into operations
  • Target multi-year contracts (CoEs/factories).

 

 

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