Vendor Analysis
published on Feb 17, 2021
Report Overview:
This NelsonHall vendor assessment analyzes Mphasis' offerings and capabilities in cognitive & self-healing IT infrastructure management services.
Who is this Report for:
NelsonHall’s cognitive & self-healing IT infrastructure management services profile on Mphasis is a comprehensive assessment of Mphasis’ offerings and capabilities, designed for:
- Sourcing managers monitoring the capabilities of existing suppliers of digital services and cognitive & self-healing IT infrastructure management services and identifying vendor suitability for RFPs
- Vendor marketing, sales, and business managers looking to benchmark themselves against their peers
- Financial analysts and investors specializing in the IT services sector.
Scope of this Report:
The report provides a comprehensive and objective analysis of Mphasis’ cognitive & self-healing IT infrastructure management services offerings and capabilities, and market and financial strengths, including:
- Identification of the company’s strategy, emphasis, and new developments
- Analysis of the company’s strengths, weaknesses, and outlook
- Revenue estimates
- Analysis of the profile of the company’s customer base including the company’s targeting strategy and examples of current contracts
- Analysis of the company’s offerings and key service components
- Analysis of the company’s delivery organization including the location of delivery locations.
Key Findings & Highlights:
This NelsonHall vendor assessment analyzes Mphasis’ offerings and capabilities in cognitive & self-healing IT infrastructure management services.
Mphasis provides next-generation infrastructure services, where it is focusing on AI-led automation, digital operations, data center services, end-user support, network and communication, and security services. Mphasis' IP cognitive offering is InfraGenie, which incorporates machine learning and aims to provide "zero-touch, zero impact IT infrastructure operations automation." Mphasis seeks to engage with CIOs to find cost-efficiencies in run operations to help fund their digital transformation programs. It looks at various parameters across their operations to improve efficiency through intelligent automation in operations (AI), enabling work and task elimination to drive cost take-out.
