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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 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 clients on separate solution aspects and components, including security, compliance, and ML-powered capabilities.
End-to-End Big Data Services ScienceSoft Offers
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.
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.
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.
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.
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.
Why Choose ScienceSoft as Your Big Data Consultancy
- Since 2013, 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 healthcare, banking, lending, investment, insurance, retail, ecommerce, professional services, manufacturing, transportation and logistics, energy, telecoms, and more.
- 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.
What makes ScienceSoft different
We achieve project success no matter what
ScienceSoft does not pass mere project administration off as project management, which, unfortunately, often happens on the market. We practice real project management, achieving project success for our clients no matter what.
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 and software 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 Clients’ Success
Garan’s operations largely depend on timely analytical insights, so when the performance of our big data reporting solution decreased dramatically, we needed to fix the problem as quickly as possible. ScienceSoft’s consulting on Hadoop and Spark made a tremendous difference. The changes we made on their advice helped our data processing speed drop from hours to minutes.
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.
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
- 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!
Does your data arrive constantly, at short intervals — up to every 10 minutes?
Do you need to process unstructured data (e.g., texts, images, videos, audios)?
Should your data be processed as soon as it arrives?
Does your solution feature real-time functionality (e.g., immediate notifications to users, fraud detection alerts, automated IoT action triggers)?
Does your business experience constant data and user volume growth?
Please tell us a bit more about your needs
Answer at least 3 questions to get results.
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.
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!
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.
Traffic management; energy, resource, and waste management; data-driven urban planning; public safety systems; environment monitoring (e.g., air quality); predictive city infrastructure maintenance.
Agriculture
Crop yield optimization, precision farming, real-time livestock management and environment monitoring, pest and disease management, SCM optimization.
Automotive
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?
1
You answer a few simple questions about your IT initiative (it takes just 3 minutes) and submit the form.
2
Our experts go back to you with an approximate range for your case. NB: A few additional questions may be required.
3
Then, if you want to get a more precise figure, we'll be glad to schedule a discussion to gather case-specific details that will let us provide you with a fully custom quote
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.
Thank you for your request!
We will analyze your case and get back to you within a business day to share a ballpark estimate.
In the meantime, would you like to learn more about ScienceSoft?
- Project success no matter what: learn how we make good on our mission.
- 35 years in data management and analytics: check what we do.
- 4,000 successful projects: explore our portfolio.
- 1,300+ incredible clients: read what they say.
Technologies ScienceSoft Works With
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 clients’ 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.
Vendor neutrality
due to our diverse partnerships and deep proficiency with AWS, Azure, GCP, and leading software vendors.