Big data and analytics outsourcing services
Data is everywhere, but making sense of it is the real challenge. Your business generates massive amounts of information every day, yet turning that data into decisions that actually move the needle requires specialized skills most companies don’t have in-house.
Sourcefit connects you with big data scientists and specialists who transform raw information into business intelligence that drives growth.
Please contact us for a free consultation


Why Sourcefit?
Sourcefit’s big data and analytics outsourcing service
Data generation is reaching over 180 zettabytes globally while 97.2% of companies are investing in big data and AI. The question isn’t whether you need analytics — it’s whether you can find the right people to do it properly.
Our data scientists work from five strategic global locations with real experience solving business problems, not just academic projects.
They are experts in how to clean messy data, build models that work in production, and explain complex findings to non-technical teams using the full technology stack.




What we offer
Building world-class data analytics teams internally requires significant investment in talent and technology. Our offshore approach delivers the same expertise and infrastructure with better economics and faster deployment.

Data science and predictive modeling
Build predictive models and machine learning algorithms that solve real business problems, identify new opportunities, and forecast market trends with statistical accuracy.

Data engineering and infrastructure
Design and maintain data pipelines and infrastructure that power your analytics and reporting systems and enable you to handle massive datasets efficiently and reliably.

Business intelligence and visualization
Create dashboards, reports, and visualizations that make complex data easy to understand and act on, providing clear insights for strategic decision-making.

Big data processing and management
Our specialists are experts in big data frameworks and distributed computing systems for processing massive datasets using Hadoop and other enterprise technologies.

ETL development and data integration
Build systems that extract, clean, and integrate data from multiple sources into usable formats for analysis to ensure data quality and consistency.

Risk analytics and fraud detection
Using predictive analytics to spot quality issues, fraud patterns, and operational risks early on and identify potential problems before they become expensive disasters.
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Why choose Sourcefit for big data outsourcing?
Proven analytics results across industries
We’ve delivered data science solutions for e-commerce customer behavior analysis, financial services risk modeling, healthcare outcome prediction, manufacturing predictive maintenance, and retail inventory forecasting.
Complete data science team building
Build your analytics team with data scientists, data engineers, business intelligence analysts, ETL developers, Hadoop engineers, and analytics consultants who understand both technical implementation and business strategy.
Advanced technology stack experience
Our specialists have hands-on experience with the full range of big data tools, including cloud platforms, machine learning frameworks, statistical software, and distributed computing systems.
Business-focused analytics approach
We focus on analytics that drive measurable business outcomes rather than just technical demonstrations to ensure your data science investments deliver actual ROI.
Flexible engagement models
Choose from dedicated data science teams, project-based analytics, or consultative support depending on your business requirements and analytical maturity level.
Big data outsourcing pricing
Position requirement
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Entry level
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Mid level
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Expert level
Outsourcing
*monthly
- $1,250
- $2,000
- $2,700
Our pricing accommodates everything from one-time analytics projects to ongoing data science support, all designed to deliver measurable ROI without upfront infrastructure investments.
FAQs
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What types of data science projects can your teams handle?
Our specialists handle predictive modeling, machine learning, customer analytics, fraud detection, risk modeling, operational optimization, and business intelligence across all major platforms and technologies.
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Can you work with our existing data infrastructure?
Yes, our teams integrate with your current systems, including databases, cloud platforms, analytics tools, and business intelligence software to work within your existing technology environment.
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Can you provide ongoing analytics support or just project-based work?
We offer both options: dedicated ongoing analytics teams for continuous business intelligence, or project-based engagements for specific analytical initiatives and model development.
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What if we need to scale our analytics quickly for a major project?
Our global team structure allows us to rapidly assign additional data scientists and analysts to urgent projects while maintaining quality standards and project continuity.