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Big Data Consulting Services

In big data services since 2013, ScienceSoft provides companies across 30+ industries with expert guidance in implementing or enhancing their big data solutions. 

Big Data Consulting Services - ScienceSoft
Big Data Consulting Services - ScienceSoft

Big data consulting services are advisory activities aimed at providing professional support to businesses looking to turn their data into a tangible value driver.

Providing full-scope big data consulting, ScienceSoft can support you at any stage of your big data initiative. You can get a feasibility study with costs and ROI estimates for a risk-free start and go on to have architecture design and an optimal tech stack. We also advise our customers on separate solution aspects and components, including security, compliance, and ML-powered capabilities.

End-to-End Big Data Services ScienceSoft Offers

Enterprise data storage and analytics solutions

We can help you design and build a comprehensive solution that brings large volumes of data together in one easy-to-access spot. We cover all necessary parts of the solution:

  • Collecting data from various sources: yours, your partners', public data, etc.
  • Cleaning and aggregating the data.
  • Establishing a repository, either on-premises or cloud-based, that houses current and historical data.
  • Adding BI and predictive analytics to empower your teams across the enterprise to identify present and future patterns, trends, and correlations.
  • Converting the results into intuitive dashboards.
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Enterprise event-driven solutions

From initial planning to delivery and post-launch support, we help with big data solutions that support making operational enterprise decisions on the fly, e.g.:

  • IoT-based supply chain monitoring and optimization.
  • Real-time inventory management.
  • Proactive maintenance and minimizing equipment downtime.
  • Real-time fraud detection.
  • Ad tech platforms.
  • Social media monitoring.
  • Network security analytics.
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Consumer-centric big data platforms

Let’s turn your business into a customer magnet that's all about smart moves and savvy growth! We help with the end-to-end delivery of efficient, reliable, and secure software products with big data pipelines at the core. Such products feature:

  • Real-time personalization.
  • Real-time consumer-provider matching (location-based, capability-based, preference-based, etc.).
  • Dynamic pricing.
  • Real-time analytics and predictions.
  • Prompt customer service.
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Big data solution audit and improvement

Not satisfied with your existing big data systems? Our team can help identify bottlenecks and inefficiencies and plan and implement corresponding improvements like:

  • Adding or improving containerization.
  • Improving orchestration of big data processing tasks.
  • Migrating big data infrastructure to the cloud or moving from one cloud to another.
  • Modernizing data processing pipelines and algorithms.
  • Implementing performance monitoring solutions.
  • Implementing new strategies for replication, backup, and recovery.
  • Adding or upgrading encryption and other security mechanisms, and more.
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Big data infrastructure consulting

Big data infrastructure consulting services focus on the underlying technologies (like Hadoop, Kafka, Spark, NiFi, Cassandra, and MongoDB) that support the storage, processing, and analysis of large volumes of data. Our consultants help organizations ensure they have the capacity, performance, and scalability required to derive value from their data assets by:

  • Recommending and implementing new techs.
  • Updating, reconfiguring, or customizing existing techs.
  • Assisting with migrating big data techs to their cloud alternatives (e.g., from Kafka to Amazon MSK, from Hadoop to Azure HDInsight), and more.
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Why Choose ScienceSoft as Your Big Data Consultancy

  • Since 2013 in end-to-end big data development, we have been delivering big data solutions that cover operational and analytical big data needs, including real-time analytics and processing, which gives us a deep understanding of your challenges and the best ways to address them.
  • Since 1989 in data analytics, data science, and custom software development.
  • Practical experience in 30+ industries, including manufacturing, healthcare, retail, BFSI, logistics, energy, and telecoms. Building competitive software products and advanced enterprise solutions.
  • An expert team of architects, developers, DataOps engineers, ISTQB-certified QA engineers, data scientists, project managers, and business analysts with 5­–20 years of experience.
  • An independent cloud big data consultancy, partnerships with Microsoft and AWS.
  • Quality-first approach based on a mature ISO 9001-certified quality management system.
  • ISO 27001-certified security management relying on comprehensive policies and processes, advanced security technology, and skilled professionals.

87% of Firms Witness Measurable Value From Their Big Data Initiatives

According to the 2024 Data and AI Leadership Executive Survey, 87% of firms report that data investments bring tangible business results. The benefits of big data implementation include but are not limited to improved decision-making, enhanced customer experience, higher business productivity, and optimized expenses.

However, all companies face certain challenges on the way to big data adoption. 80% of companies report that the main obstacles impeding their data-driven organizational transformation are related to people, business processes, and cultural alignment. Only 20% cite technology limitations as their primary impediment.

In this context, a pragmatic, value-focused digital transformation strategy and timely adoption of industry best practices become the main drivers of successful big data implementation and its efficient management in the future. With a large team of seasoned business consultants and experienced big data engineers on board, ScienceSoft is ready to help you carry out your most ambitious big data projects.

Our Selected Success Stories

We’re Proud to Be a Part of Our Customers’ Success

When we first contacted ScienceSoft, we needed expert advice on the creation of the centralized analytical solution to achieve company-wide transparent analytics and reporting. After a series of interviews, ScienceSoft’s consultants analyzed our workloads, documentation, and the existing infrastructure and provided us with a clear project roadmap.

We needed a proficient big data consultancy to deploy a Hadoop lab. ScienceSoft’s team proved their mastery in a vast range of big data technologies and showed themselves as great consultants. Special thanks for supporting us during the transition period. Whenever a question arose, we got it answered almost instantly. We would certainly recommend ScienceSoft as a highly competent and reliable partner.

bioAffinity Technologies hired ScienceSoft to help in the development of its automated data analysis software for detection of lung cancer using flow cytometry. Our project required a large amount of industry-specific methodology and algorithms to be implemented into our new software connected to EHR/LIS systems, which ScienceSoft’s team handled well due to a profound understanding of laboratory software specifics and integrations.

ScienceSoft USA Corporation Is a 3-Year Champion in the Financial Times Rating

Three years in a row (2022–2024), the Financial Times has included ScienceSoft USA Corporation in the list of 500 fastest-growing American companies. This is the result of our dedication to driving project success despite any constraints and disruptions.

How It Works: Big Data Components We Cover

Sample architecture of a big data solution - ScienceSoft

  • A bus layer or aggregation layer collects data from various 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, security, quality, cataloging, metadata management, etc.

Is your data big?

The big data term is tricky, as it is seemingly limited to data volume. Your data can deserve the status due to many other factors. Take our simple quiz to find out!


Please tell us a bit more about your needs

Answer at least 3 questions to get results.

Go to questions

Looks like big data technologies will be a true value driver for you

It's likely that your solution will significantly benefit from big data techs. Tell ScienceSoft's experts about your needs and goals, and we'll be glad to help you with your IT initiative.

Talk to the team

Looks like your data is not "big" yet

Looks like traditional technologies will suffice to enable efficient data management in your case. However, you have landed on a big data page, which makes us assume you are at some step of a demanding IT initiative and are looking for expert knowledge and assistance. ScienceSoft will be glad to help — just drop us a line!

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Popular Big Data Use Cases We Cover

Data consulting services are focused on adapting big data technology to a particular use case. With practical experience in 30+ industries, ScienceSoft knows how to tailor a big data solution to your industry’s specific needs.

Remote patient monitoring, smart medical devices & hospital asset tracking, personalized care, population health analytics & clinical trials.

Predictive maintenance and condition monitoring, real-time asset tracking, production optimization, quality control, smart SCM and fleet management.

Large-scale ecommerce systems, customer behavior analytics, online and in-store personalization, dynamic price optimization, smart supply chain and inventory management.

Fraud detection, customer analytics, credit scoring, portfolio & risk management, real-time monitoring of insured assets.

Vehicle & transportation conditions tracking, predictive maintenance, fleet management optimization, demand planning.

Large-scale OSS/BSS, VoIP, and IPTV systems, subscriber analytics (e.g., segmentation, behavior modeling, CLV, churn), network management and optimization.

Streaming services, online games, ridesharing and delivery apps, AI assistants, collaborative workspaces, CRMs, ecommerce platforms, etc.

Oil & gas, energy

Equipment and power grid monitoring, predictive maintenance; optimizing hazard management, resources utilization, and equipment performance.

Traffic management; energy, resource, and waste management; data-driven urban planning; public safety systems; environment monitoring (e.g., air quality); predictive city infrastructure maintenance.


Crop yield optimization, precision farming, real-time livestock management and environment monitoring, pest and disease management, SCM optimization.


Production monitoring and optimization, quality control, driver behavior & road condition analytics, connected car services & autonomous vehicles, predictive maintenance for manufacturing equipment and vehicles.

Large-scale SCM monitoring systems, real-time balancing of demand/supply and inventory levels, supply chain cost modeling and optimization, supplier risk estimation.

Estimate the Cost of Big Data for Your Project

How does it work?




Estimate the Cost of Big Data Consulting

Please answer a few simple questions to let our experts understand your project specifics and give you a tailored pricing estimation.


*What is your industry?

*How would you describe your current/target big data solution?

*What kind of help are you looking for regarding your big data initiative?

*What is your current/expected data volume?

*What growth of data volume do you expect during the next 12 months?

What is the nature of the data sources of your current/target big data solution?

Are you planning to implement/upgrade real-time processing capabilities?

Are you planning to add/upgrade AI/ML capabilities (e.g., for forecasting, intelligent optimization recommendations)?

*When are you ready to start your big data initiative?

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Our team is on it!

ScienceSoft's experts will study your case and get back to you with the details within 24 hours.

Our team is on it!

Technologies ScienceSoft Works With

ScienceSoft’s Head of Analytics

Big data promises big value, and we’ve seen it come to fruition for dozens of our clients. But every time we take on a new big data project, we are reminded that big value also requires big efforts. Truly efficient solutions that make our clients feel the difference from day one are never just a bundle of ready-made tools and technologies. High-performing and cost-effective big data systems feature a large share of custom code that is written to meet the unique business objectives and operational needs of each initiative.

What Makes ScienceSoft Different

At ScienceSoft, we don’t just talk about the miracles of big data. We focus on our customers’ priorities to deliver sustainable solutions that bring real value instead of bloated project budgets and unreachable delivery deadlines. With established practices for scoping, cost estimation, risk mitigation, and other project management aspects, we drive projects to their goals regardless of time and budget constraints.

Proactive work and timely delivery

thanks to our teams of senior engineers without creative burnout, ready to work in a fast-paced environment.

Optimized costs

due to our cost reduction best practices and a broad tech stack.

Guaranteed quality

due to our mature, ISO-certified security and quality management systems.

Highly accurate AI/ML models

thanks to our 34 years in AI and experienced data scientists.

Industry-centric solutions

thanks to our practical expertise in 30+ domains.

Vendor neutrality

due to our diverse partnerships and deep proficiency with AWS, Azure, GCP, and leading software vendors.

It’s High Time to Use the Full Potential of Big Data

Limited budgets, security concerns, and the fear of upcoming organizational changes often create a gap between ambitious big data initiatives and their implementation. ScienceSoft’s experts know how to bridge this gap — as a big data consulting company we are here to help you build a cost-efficient, sustainable, secure, and fault-tolerant solution that will be loved by users.