Vendor Analysis
published on Jan 24, 2018
Report Overview:
This NelsonHall assessment analyzes Accenture'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 Accenture is a comprehensive assessment of Accenture’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 Accenture’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:
Accenture primarily provides big data and analytics services through its Accenture Analytics, now renamed Accenture Applied Intelligence (AI) practice. AI is part of Accenture Digital, which since 2014 has encompassed Accenture Interactive and Accenture Mobility.
AI has a wide range of services in big data and analytics and is investing in platforms and accelerators, to drive service execution repeatability.
At the core of AI’s service portfolio is its Accenture Insights Platform (AIP), which it created to provide clients with a pre-integrated platform that includes COTS and open source software.
Another area of investment for AI is around patents, as it claims 750 patents (both awarded or pending), a large proportion of these being around marketing automation. Examples of patents include creating algorithms for a sister unit of AI, Accenture Operations’ BPS activities, and video analytics (e.g. analyzing images of car accidents and determining the level of damage).
AI is following both a bottom-up approach (e.g. from Accenture Operations’ BPS activities) and a top-down approach (analytics model management) for its IPs and patents.
