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Big Data Consulting Services
In big data since 2013 and in software development since 1989, ScienceSoft helps companies implement new big data solutions or perfect the existing ones. Be it a solution for corporate usage or a new disrupting software product – we are excited to help!
Big data consultants help companies collect, process and capitalize on terabytes of high velocity and high variety data.
About ScienceSoft
- 9 years in developing end-to-end big data solutions.
- 33 years in data analytics, data science and custom software development.
- Practical experience in 30+ industries, including manufacturing, healthcare, retail, BFSI, logistics, energy and telecoms.
- 700+ experts on board with 5-20 years of experience, including architects, developers, DataOps engineers, ISTQB-certified QA engineers, data scientists, project managers and business analysts.
- A Microsoft Solutions Partner.
- An AWS Select Tier Services Partner.
- ISO 9001 and ISO 27001-certified to guarantee service quality and customer data security.
IT Skills Available for Hire at ScienceSoft
Business consulting
We will help you understand whether and how big data can bring tangible improvements to your business and processes. You will get a big data adoption strategy, use cases, requirements specification for the solution-to-be, and ROI estimates.
Big data architecture (re)design
Whether we review your existing big data architecture or design a new one, we always ensure it is as high-performing, secure, resilient, cost-efficient and easy to maintain as it can be.
End-to-end solution delivery
ScienceSoft can plan, design, develop, deploy, support and evolve organization-wide big data platforms and dedicated big data solutions.
Big data analytics and visualization
We will help you understand whether and how big data can bring tangible improvements to your business and processes. You will get a big data adoption strategy, use cases, requirements specification for the solution-to-be, and ROI estimates.
AI and ML consulting
Whether we review your existing big data architecture or design a new one, we always ensure it is as high-performing, secure, resilient, cost-efficient and easy to maintain as it can be.
Big data management
ScienceSoft can plan, design, develop, deploy, support and evolve organization-wide big data platforms and dedicated big data solutions.
The Financial Times Includes ScienceSoft USA Corporation in the List of Americas’ Fastest-Growing Companies 2022
ScienceSoft is one of 500 companies with the highest compound annual growth rate in revenue. This achievement is a result of our unfailing commitment to provide high-quality IT services and find best-value solutions to clients’ needs.
IT Skills Available for Hire at ScienceSoft
Operational big data systems
- Medical IoT.
- Automated real-time anomaly recognition.
- Ridesharing.
- Traffic navigation.
- Real-time ad targeting.
- User propensity scoring.
- Stock market quotes management.
- Network security breaches detection.
- Connected smart appliances.
- Online video games, and many more.
Analytical big data systems
- Corporate performance analytics.
- Strategic and operational planning.
- Cause-effect analysis, operational performance prediction and forecasting.
- Collection and storage of customer data.
- Customer segmentation and behavior modeling.
- Personalized marketing, product recommendations, discounts, etc.
- Customer churn management, and many more.
ScienceSoft’s Experts
ScienceSoft brings together experts with 7-20 years of experience. For almost a decade, we help businesses transform with big data, and we keep motivated with our clients’ success. Whatever your project requires – the proficiency in big data technologies, streaming architectures, databases, custom development, DevOps or other fields – you’ll find it with us.
Alex Bekker
- Head of Data Analytics Department at ScienceSoft
- 25+ years of overall experience in IT and in data analytics
Mary Zayats
- Lead Business Analyst and Banking IT Consultant at ScienceSoft
- In IT Project Management and business analysis since 2015.
Serge Pukhaev
- Head of Data Analytics Department at ScienceSoft
- 25+ years of overall experience in IT and in data analytics
Our Happy Customers
ScienceSoft proved to be a professional service provider from the outset. We appreciate their proactive approach and ability to suggest improvements to a prospective solution on both architectural and business levels. We know we can always rely on ScienceSoft’s various competencies when our clients require quality software which would facilitate their business success. 
ScienceSoft proved to be a professional service provider from the outset. We appreciate their proactive approach and ability to suggest improvements to a prospective solution on both architectural and business levels. We know we can always rely on ScienceSoft’s various competencies when our clients require quality software which would facilitate their business success.
ScienceSoft proved to be a professional service provider from the outset. We appreciate their proactive approach and ability to suggest improvements to a prospective solution on both architectural and business levels. We know we can always rely on ScienceSoft’s various competencies when our clients require quality software which would facilitate their business success.
ScienceSoft proved to be a professional service provider from the outset. We appreciate their proactive approach and ability to suggest improvements to a prospective solution on both architectural and business levels. We know we can always rely on ScienceSoft’s various competencies when our clients require quality software which would facilitate their business success.
How It Works: Sample Architecture of the Big Data Solutions We Deliver
- A bus layer or aggregation layer collects data from various data sources, handles event sequencing, timestamping, and routing.
- A data lake stores collected raw data.
- A batch processing layer extracts data from the data storage in a scheduled manner (entails the latency from minutes to hours) and transforms it into analyzable formats to be further processed by the analytics layer.
- A stream processing layer captures real-time data and handles real-time in-memory processing (entails latency from milliseconds to seconds).
- A serving component (a data warehouse) stores processed data.
- A big data governance layer handles data auditing, data security, data quality, data cataloging, metadata management, etc.
Technologies ScienceSoft Works With
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