Big Data Consulting Company S-PRO

Optimize your processes, gain insights, and make informed decisions with our timely and high-quality big data consulting service. We know how to help you, whether you are a startup, a mid-sized company, or an enterprise.

Our Big Data Consulting Experts

S-PRO's Big Data Consulting experts know how to handle vast volumes of data to mine valuable insights. We specialize in data storage, processing, and advanced analytics. Leverage big data for your strategic advantage, enhancing decision-making, optimizing operations, and driving innovation.
Dmytro Voitekh
Areas of expertise: creating and implementing AI solutions, selecting appropriate technology stack for web and mobile development, data encryption and security.
Ephraim Frei
Head of Corporate Clients
Areas of expertise: enhancing data-driven decision-making, developing and implementing AI solutions for corporate finance, leveraging machine learning algorithms for predictive analytics, and automating complex financial processes.
Nikolay Bobryk
Solution Architect
Areas of expertise: AI systems design and implementation, AI strategizing, scalable architectures development, AI technologies integration (machine learning, natural language processing, computer vision).

Big Data Consulting Services

Make the most of your data. With our big data consulting company, you can discover opportunities for your specific project — from warehousing and migration to ML-powered analytics. In any case, big data analytics consultants guarantee security and compliance.
Big Data Consulting
  • Evaluating the existing data infrastructure
  • Understand business objectives, pain points, and areas for improvement
  • Checking the readiness for adopting big data solutions
  • Selecting the appropriate technology stack
  • Robust data governance policies and frameworks
  • Identifying potential risks and challenges
  • Roadmap for implementing big data solutions
Big Data Implementation
  • Designing the architecture and solution blueprint
  • Configuring cloud infrastructure
  • Installing software components and optimizing performance parameters
  • Implementing data pipelines or workflows
  • Extract, Transform, Load (ETL) processes
  • Creating analytics pipelines, algorithms, and ML models
  • Dashboards, reports, and visualization tools
  • Rigorous testing and quality assurance
Big Data Processing
  • Removing duplicates and handling missing values
  • Transforming raw data into a suitable format
  • Ingesting data from various sources
  • Selecting and setting up the appropriate processing framework
  • Parallel processing techniques
  • Data processing algorithms and logic
  • Fault tolerance mechanisms
  • Monitoring and optimizing performance
Big Data Warehousing
  • A thorough analysis of the existing data infrastructure
  • Identifying warehouse requirements
  • Defining data structures, relationships, and hierarchies
  • Establishing connections between different data entities
  • Developing data integration pipelines and processes
  • ETL processes
  • Implementing storage solutions
  • Enabling querying and analysis of data
  • Data governance policies and security measures
Data Migration Services
  • Understanding existing architecture, technologies, and data assets
  • Defining key data sets, migration timelines, and metrics
  • Developing a comprehensive migration strategy
  • Data anomalies, duplicates, inconsistencies
  • Mapping source data fields
  • ETL (Extract, Transform, Load) processes
  • Data validation and verification methods
BI, Reporting, and Data Visualization
  • Understanding user needs and relevant KPIs
  • Identifying data sources and metrics
  • Data extraction, transformation, and loading (ETL) processes
  • Data dimensions, hierarchies, and relationships
  • Selecting appropriate visualization components
  • Dashboard layouts, visualizations, and navigation paths
  • Providing user-friendly tools and interfaces
  • Appropriate visualization types
  • Statistical analysis, ML algorithms, and predictive modeling
Advanced Big Data Analytics
  • Defining and prioritizing use cases
  • Data cleansing, transformation, and feature engineering
  • Engineering and selecting features
  • Selecting appropriate algorithms and tuning model parameters
  • Fitting the model to the training data
  • Evaluating the performance of unseen data
  • Packaging the model into a deployable format
  • Integrating it with existing systems
  • Mechanisms for model retraining and recalibration

Why to Employ Big Data Consulting

Choose a big data consulting company to enhance your strategy and roadmap. Our experts allow you to visualize patterns, make informed decisions, improve analytics, and reduce risks. Discover more about how big data in consulting can benefit your business.
Customer Insights
Do you know your customers well? Big data consulting firms help you analyze vast volumes of structured and unstructured data from social media, transaction histories, and customer interactions. As a result, you can uncover valuable insights into customer needs, preferences, and sentiments.
Data-Driven Innovation
Big data analytics consulting companies identify emerging trends, uncover hidden patterns, and discover new business opportunities. This way, you drive innovation across various aspects of their operations, from product design to customer service. Stay ahead of the curve, continuously adapting to changing market dynamics.
Diverse Use Cases
Not sure if big data will help you? Data consultancy offers use cases across industries, catering to diverse business needs — from predictive analytics and customer segmentation to fraud detection and supply chain optimization. Also, you can use big data to optimize marketing campaigns, improve operational efficiency, or mitigate risks.
Enhanced Business Operations
Big data consulting companies optimize business operations by leveraging insights from data analysis. Use operational data from manufacturing systems, supply chain networks, and enterprise applications to identify inefficiencies and streamline workflows. Real-time monitoring of key performance indicators (KPIs) facilitates proactive decision-making.
Targeting and Recommendations
Segment the audience based on demographics, behaviors, and preferences. Let's enhance customer engagement through targeted marketing campaigns and personalized recommendations. A customized approach drives sales, strengthens brand affinity, and fosters long-term customer relationships.
Better Pricing
Your pricing strategy can also be optimized — by understanding market dynamics, customer preferences, and competitive offers. Develop dynamic models that adjust prices based on real-time demand, competition, and other factors. Also, consulting big data helps you predict demand and adjust prices accordingly.
Extract insights from all types of data with the help of big data and analytics consulting
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Our Big Data Consulting Flow

Let's communicate to discuss your business objectives, current data infrastructure, and challenges. We gather requirements and assess your company's readiness to adopt big data.
Then, our big data consultant develops a comprehensive strategy and roadmap for implementing solutions. We define project goals, prioritize use cases, select appropriate technologies, and outline the implementation approach.
It's time to select data storage and processing technologies. We define high-level architecture, data flow, components, and pipeline dependencies. We consider scalability, security, and integration with existing systems in the process.
Our big data experts implement and execute the project. This involves setting up infrastructure, configuring software components, developing data pipelines, and integrating data from various sources.
Our big data analytics consultant conducts rigorous testing to validate the solution's functionality, performance, and reliability. We optimize its efficiency and scalability before deploying it into production.

Our Tech Stack for Big Data Consulting

  • Languages
  • Frameworks and Libraries
  • Visualization for Big Data Consulting Service
  • Databases for Data Consulting Services
  • Data Warehousing
  • Machine Learning and Predictive Analytics
  • Cloud Platforms
Apache Hadoop
Apache Spark
Zoho Analytics
SQL (PostgreSQL, MySQL)
NoSQL (MongoDB, Cassandra)
Amazon Redshift
Google BigQuery
Microsoft Azure
Google Cloud

Our Case Studies

  • Muuvr
  • Compliance Aspecte
  • TravelPlanBooker
  • Launching a new business
Community building platform
Muuvr is proprietary active-data-for-crypto platform. It inspires and enables active people of every ability, nationality, age, gender, economic status, creed and colour to take ownership of their...
  • Muuvr
  • Compliance Aspecte
  • TravelPlanBooker
  • New business line
AI solution for the compliance domain
Compliance Aspekte is a platform with which companies can manage their compliance with various requirements, including the GDPR, ISO 27001, IT-Grundschutz, and many others...
  • Muuvr
  • Compliance Aspecte
  • TravelPlanBooker
  • MVP
  • Dedicated team
Advanced travel planning tool
TravelPlanBooker offers customers a truly integrated travel planning and booking experience, allowing them to arrange flights, trains, buses, accommodations, activities, and car rentals, all in a single transaction...

Facts about S-PRO

Team members
Projects delivered
MVPs converted into solutions
Countires / Offices worldwide
6 / 8

Why Customers Choose Us

Convenient Time Zone
Our big data consulting company guarantees seamless communication across various time zones. With headquarters in Switzerland, representations in the Netherlands and the USA, and dedicated R&D centers in Poland and Ukraine, we cover a broad spectrum of regions. As a result, we promptly respond to urgent issues.
High Automation
At S-PRO, we leverage automation technologies during data consultancy services. Automated data governance and reporting procedures streamline your data management processes and reduce the risk of human errors. Automated workflows ensure smooth data movement through your systems, enabling faster insights.
Optimized Budget
You might think that big data consulting services will blow your budget. However, we leverage DevOps and Agile methodologies to optimize project expenses. For example, our experts implement test automation to identify and rectify issues earlier and adopt a rightsizing approach to cloud resources, minimizing resource utilization.
Industry-Centric Approach
Whether you operate in healthcare, finance, hospitality, renewable energy, logistics, or manufacturing, we offer industry-centric solutions tailored to your specific needs. With practical experience across various domains, our big data analytics consultants understand the unique challenges and regulatory requirements to address specific pain points.
Skilled Talent
Access a highly skilled team of data architects, developers, DataOps engineers, certified QA engineers, data scientists, project managers, and business analysts. Our big data consulting firm prioritizes continuous learning and professional development to stay abreast of the latest technologies and practices.
User-Friendly UI
At S-PRO, we recognize the importance of user experience. Our big data consultants help to create user-friendly interfaces that cater to the needs of both C-level executives and analysts. We focus on clarity, simplicity, and intuitiveness so stakeholders can easily extract actionable insights from complex data sets.

Frequently Asked Questions

How do you assess the readiness of a company to adopt data consultant services?

To assess your readiness for adopting big data consulting services, we conduct a comprehensive evaluation of your existing data infrastructure, resources, and capabilities. We also analyze your business objectives, data maturity level, and organizational culture to determine the potential challenges of implementing big data analytics.

What technologies and tools do you typically use in big data analytics consulting?

Our big data consulting company typically utilizes data processing frameworks like Apache Hadoop or Apache Spark, cloud platforms like AWS or Azure, databases like MongoDB or Cassandra, and analytics tools like Tableau or Power BI. We select the most appropriate stacks based on data volume, variety, and complexity.

What is the expected timeline for completing a data consulting service?

The expected timeline for implementing big data in consulting depends on the scope and complexity of the project, the availability of data and resources, and the specific requirements and objectives. Typically, our projects are completed within a timeframe ranging from a few weeks to several months. Contact S-PRO to discuss realistic timelines and milestones.

Contact Us

We would like to know more about your request. Let's schedule a free estimation call and discuss the next steps.
Fill out the form or email us at
Or call us +41 79 535 63 77
Zurich, Switzerland
Hardturmstrasse 161, 8005
Zug, Switzerland
Dammstrasse 16, 6300
R&D Centers
Lodz, Poland
Zachodnia 70, 90-403
Lviv, Ukraine
Heroiv UPA 71, 79000
Kyiv, Ukraine
Verkhnii Val St, 24, 04071
Business Representatives
Salt Lake City, USA
Kiln SLC, 26 S Rio Grande St, UT 84101
Austin, USA
11801 Domain blvd., 3rd Fl, Austin, TX 78758
Amsterdam, Netherlands
Science Park 608, 1098 XH
Let’s discuss your project

    Zurich, Switzerland
    Hardturmstrasse 161, 8005
    Zug, Switzerland
    Dammstrasse 16, 6300
    R&D Centers
    Lodz, Poland
    Zachodnia 70, 90-403
    Lviv, Ukraine
    Heroiv UPA 71, 79000
    Kyiv, Ukraine
    Verkhnii Val St, 24, 04071
    Business Representatives
    Salt Lake City, USA
    Kiln SLC, 26 S Rio Grande St, UT 84101
    Austin, USA
    11801 Domain blvd., 3rd Fl, Austin, TX 78758
    Amsterdam, Netherlands
    Science Park 608, 1098 XH