Published: 22 February 2021
Summary
Service providers vary considerably in their suitability for different types of data and analytics initiatives. This Critical Capabilities report will help data and analytics leaders shortlist appropriate service providers across six typical use cases.
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Overview
Key Findings
Data science and managed services are the use cases with the least differentiation between service providers, while governance, and strategy and consulting exhibit the most difference.
Governance expertise, business change management and business acumen are the three critical capabilities with the widest range of maturity based on Gartner analyst evaluations. This reflects the ongoing difficulty that many D&A service providers face in trying to bridge the gap between the technical skills and the organizational change capabilities required for successful projects.
Vendors with high scores in one use case tend to also do well in other use cases; however, most vendors
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- Accenture
- Atos
- Capgemini
- Cognizant
- Deloitte
- DXC
- EXL
- EY
- Genpact
- HCL
- IBM
- Infosys
- KPMG
- NEC
- NTT Data
- PwC
- TCS
- Tech Mahindra
- Wipro
- Business Acumen
- Business Process Transformation
- Business Change Management
- Technology Enablement
- Asset-Based Services
- Analytics and BI Service Expertise
- Data Management Service Expertise
- AI/ML Service Expertise
- D&A Governance Expertise
- D&A as a Service
- Strategy and Consulting
- Analytics and BI Implementation
- Data Management
- Data Science and AI/ML
- Governance
- Managed Services
Gartner Recommended Reading
Critical Capabilities Methodology