Vendor Analysis
published on Mar 12, 2021
Report Overview:
This NelsonHall vendor assessment analyzes Atos' 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 Atos is a comprehensive assessment of Atos’ 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 Atos’ 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:
As part of the SPRING program, one of the 15 practices created focuses on automation, RPA, and analytics and has a dedicated charter to develop and take consulting and advisory services to clients. It engages with clients on their automation journey, adopting a tooling-agnostic approach, and over the last 12 months has further enhanced its IP and use cases. Previously it would focus on ticket analytics, getting a ticket dump off the client to understand the use cases. It can now conduct log analytics and understand the clients log, identifying vulnerabilities, capacity management issues, and performance issues through AI/ML-based technologies adopted, including Elastic and Splunk. It enables proactive identification, for example, of where a server may develop a CPU issue or trends analysis on memory utilization from an application.