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Tech Mahindra - Quality Engineering 2023

Vendor Analysis

by Dominique Raviart

published on May 05, 2023

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Report Overview:

This NelsonHall vendor assessment analyzes Tech Mahindra’s offerings and capabilities in quality engineering services

Who is this Report for:

NelsonHall’s QE profile on Tech Mahindra is a comprehensive assessment of Tech Mahindra’s offerings and capabilities designed for:

  • Sourcing managers monitoring the capabilities of existing suppliers of QE and identifying vendor suitability for quality engineering/QA/testing services
  • Vendor marketing, sales, and business managers looking to benchmark themselves against their peers
  • Financial analysts and investors specializing in the QE and IT services sectors.

Scope of this Report:

The report provides a comprehensive and objective analysis of Tech Mahindra’s QE offerings, capabilities, and market and financial strengths, including:

  • Identification of the company’s strategy, emphasis, and new developments
  • Analysis of the company’s strengths, challenges, and outlook
  • Revenue estimates
  • Analysis of the company’s offerings and key service components
  • Analysis of the company’s delivery organization, including the location of delivery centers.

Key Findings & Highlights:

This NelsonHall vendor assessment analyzes Tech Mahindra’s offerings and capabilities in QE.

Digital Assurance Services (DAS) is a practice that falls under Tech Mahindra’s AI & Automation business unit. DAS is structured by geography (i.e., Americas, APAC, RoW, and EMEA), with each geo having its pre-sales, sales, and marketing organization.

The key strategic focus for DAS relies on automation and creating accelerators and platforms. The company has aggregated most of its automation IP and accelerators around its LitmusT brand.

LitmusT has a wide range of capabilities, including:

  • Functional test execution in the context of agile/continuous testing and support services (e.g., test environment and test data management, and code quality analysis)
  • Reports, analytics, and cognitive technology
  • Model-based testing
  • Non-functional, e.g., security and performance testing.

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