Data Engineering & Analytics: 4 global agencies to consider
Four global Data Engineering & Analytics agencies: Tredence, Fractal, Slalom, EPAM. Sources linked, no paid placement, and the order is not a ranking.
Providers shortlisted for data platforms, pipelines and analytics.
| Agency | HQ | Best for |
|---|---|---|
| Tredence | San Jose, California, USA (third-party) | Modern data platforms supporting business analytics and AI. |
| Fractal | Mumbai, India and New York, USA | Analytics programmes where data engineering and decision science need to work together. |
| Slalom | Seattle, USA | Organisations rebuilding data foundations while improving business adoption. |
| EPAM | Newtown, Pennsylvania, USA (third-party sources) | Complex data estates requiring substantial engineering and operational support. |
Tredence
Best for: Modern data platforms supporting business analytics and AI.
Specialist data and analytics provider covering ingestion, data quality, modernization and analytics across major cloud and data platforms.
In this category:
- Data ingestion, quality and modernization
- Platforms on major cloud and data stacks supporting AI
Services
What stands out
- Several data-platform partner awards listed (Databricks, Snowflake, Google Cloud, Microsoft)
- Strong retail and CPG client list
- Data engineering with an AI and MLOps layer
Research before choosing
- Awards are self-reported; verify on the partner sites
- Announced acquisition of KMK Consulting (healthcare focus)
- Pricing not published
Fractal
Best for: Analytics programmes where data engineering and decision science need to work together.
Combines data engineering with analytics and AI, connecting platform foundations with business decision use cases.
In this category:
- Data engineering connected to analytics and decision science
- Platform foundations tied to business use cases
Services
What stands out
- Analytics, AI, engineering and design under one firm
- Analyst recognition on its site (Forrester Wave Leader, Customer Analytics Services, Q2 2025)
- Preferred Services Partner for Claude (per its site)
Research before choosing
- Most client case studies are anonymized
- Listed on Indian exchanges since February 2026 (third-party)
- Pricing not published
Slalom
Best for: Organisations rebuilding data foundations while improving business adoption.
Data practice spans engineering, architecture and business-facing analytics, supported by broader cloud delivery.
In this category:
- Data engineering, architecture and business-facing analytics
- Rebuilding data foundations with business adoption
Services
Best at
- Data engineering, architecture and business-facing analytics
- Rebuilding data foundations with business adoption
Also offers
- Strategy
- AI and machine learning
- Systems implementation
- Experience design
- Product engineering
EPAM
Best for: Complex data estates requiring substantial engineering and operational support.
Data and AI services cover modernization, platforms, decision intelligence and ongoing operations.
In this category:
- Data modernization and platforms
- Decision intelligence and ongoing operations for complex data estates
Services
Best at
- Data modernization and platforms
- Decision intelligence and ongoing operations for complex data estates
Also offers
- Data and AI services: modernization, platforms, decision intelligence
- Digital experience and design
- Ongoing operations and support
How to choose
- Ask which platforms they are certified on (Databricks, Snowflake, cloud).
- Check data quality and governance practices.
- Clarify handover and documentation.
- Request references on a similar data volume.
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