Vendor Analysis
published on Mar 29, 2021
Report Overview:
This NelsonHall vendor assessment analyzes Infosys' 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 Infosys is a comprehensive assessment of Infosys’ 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 Infosys’ 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:
Infosys provides cognitive and self-healing IT infrastructure management services through its Cobalt cloud community. Key capabilities include Infosys Polycloud Platform, ESM café, Infosys Wingspan, and third-party services, solutions, and platforms to accelerate enterprises' cloud journeys. It also includes 16k cloud assets and 225 industry cloud-first solution blueprints.
Infosys takes an agile approach to cloud delivery utilizing Kanban dashboards to keep track of progress. The initial planning and execution phase with a client (1-2 months) will seek to build out an automation backlog. It will then deliver user stories in short 4-5-week sprints to define use cases and enable the immediate realization of benefits (i.e., from automation and AI-ops engine). It further provides ongoing support and automation use case monitoring and performance reporting and automation platform health monitoring.