Vendor Analysis
published on Jan 10, 2018
Report Overview:
This NelsonHall assessment analyzes Sopra Steria's offerings and capabilities in big data and analytics services.
Who is this Report for:
NelsonHall’s Big Data and Analytics Services vendor assessment for Sopra Steria is a comprehensive assessment of Sopra Steria’s big data and analytics service offerings and capabilities designed for:
- Sourcing managers monitoring the capabilities of existing suppliers of IT services and identifying vendor suitability for digital services
- 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 Sopra Steria’s big data and analytics service offerings, capabilities, and market and financial strength, including:
- Analysis of the company’s offerings and key service components
- 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 and examples of current contracts
- Analysis of the company’s strengths, weaknesses and outlook.
Key Findings & Highlights:
Sopra Steria launched its Data Science/Big Data Analytics “technology stream” in 2015, covering big data, analytics, data science, and ML, along with other streams:
- IoT: including digital factory
- Blockchain
- Smart Machines: AI and ML
- Digital Interactions: digital marketing, augmented and virtual reality.
Big Data Analytics has a center of excellence, with several missions including:
- Working on pre-sales activity along with Sopra Steria’s country and vertical operations (BUs)
- Being involved in delivery, with the client
- Assessing technology
- Enhancing and creating new service offerings.
Big Data Analytics is also involved in delivery within the BUs. It relies on a mix of permanent members (including representatives in each major geography), and subject matter experts in the BUs. Big Data Analytics and the BUs have shared responsibility on big data projects, with Big Data Analytics driving the Inner Science.