Turn data into an actionable source with big data services. S-PRO leverages expertise in AI/ML, data science, and business intelligence to optimize your operations and deliver game-changing insights.
Expertise
Success stories
Amina Bank
Swiss-regulated bank.
#Finance
CH
Clear Street
A diversified financial services firm which modernizing the brokerage ecosystem.
#Finance
US
Dragon Capital
An investment firm that has navigated Ukraine’s rocky financial waters, seizing hidden opportunities for its clients.
#Finance
UA
Hastings Deering
Sells, services, rents and supports new and used Caterpillar machinery, equipment and power solutions.
#Manufacturing
AU
Hyposwiss
A Swiss Private Bank located in Geneva.
#Finance
CH
Maverix Securities AG
One of the leading Swiss Securities Houses in the Structured Products market.
#Finance
CH
Societe Generale
A French-based leading financial services group.
#Finance
FR
Sygnum
A global digital asset banking group, founded on Swiss and Singapore heritage.
#Finance
CHBig Data Services
Consulting for Big Data Analytics Services
- Initial assessment of the current data infrastructure and resources
- Key business challenges that big data analytics can address
- Assessing your readiness for adopting big data analytics
- Technology stack selection
- Developing data governance policies and frameworks
- Risk management and mitigation
- Strategic roadmap for implementing big data solutions
Big Data Implementation
- Big data solution design and architecture
- Configuring the necessary hardware, software, and cloud services
- Installing and setting up the selected big data platforms
- Pipelines or workflows for continuous data ingestion and integration
- Setting up data storage and ETL processes
- Developing analytics pipelines, algorithms, and models
- Building dashboards, reports, and visualization tools
- Testing and quality assurance
Big Data Processing
- Preprocessing and cleaning raw data
- Transforming data into a suitable format
- Ingesting data from various sources
- Selecting and setting up the appropriate data processing framework
- Designing and implementing parallel processing techniques
- Implementing data processing algorithms and logic
- Incorporating fault tolerance mechanisms
- Performance monitoring and optimization
Big Data Warehousing
- Analysis of existing data infrastructure and warehouse requirements
- Designing the data warehouse schema and dimensional model
- Defining data structures, relationships, and hierarchies
- Integrating data from disparate sources
- Implementing Extract, Transform, Load (ETL) processes
- Data storage and management
- Querying and analysis
- Data governance and security
- Implementing metadata management tools and processes
Data Migration Services
- Assessment of existing data infrastructure
- Migration objectives, priorities, and success criteria
- Comprehensive migration strategy and roadmap
- Data profiling and cleansing
- Data mapping and transformation
- ETL (Extract, Transform, Load) processes
- Performing data validation and verification
- Rigorous testing and quality assurance
BI, Reporting, and Data Visualization
- Requirement gathering and analysis
- Integrating data from multiple sources into a unified model
- Performing data modeling activities
- Designing interactive dashboards, reports, and scorecards
- Customizing dashboard layouts, visualizations, and navigation paths
- Implementing self-service BI capabilities
- Selecting appropriate visualization types
- Advanced analytics and predictive modeling capabilities
Advanced Big Data Analytics
- Use case identification and prioritization
- Data exploration and preparation
- Engineering and selecting features
- Developing machine learning and statistical models
- Training models using historical data
- Model evaluation and validation
- Deploying trained models into production environments
- Integrating deployed models with existing systems and workflows
- Mechanisms for model retraining and recalibration
Show All
Big Data Service Benefits
- Customer Insights
- Targeting and Recommendations
- Data-Driven Innovation
- Diverse Use Cases Across Industries
- Enhanced Business Operations
- Better Pricing
Get a deep and nuanced understanding of your customers. Analyze vast volumes of structured and unstructured data from various sources like social media, transaction histories, and customer interactions. Big data services companies uncover valuable insights about customer needs, preferences, and sentiments to tailor products and services to client preferences.
Big data service providers enhance customer engagement and conversion rates. Advanced analytics and machine learning algorithms simplify delivering personalized recommendations and targeted marketing campaigns. Segment your audience based on demographics, behaviors, and preferences to offer relevant content and product recommendations.
Drive innovation and gain a competitive edge by leveraging data-driven insights. With big data analytics, you identify emerging trends, uncover hidden patterns, and discover new opportunities for product development and process optimization. Strengthen your position in the market and ensure long-term success and growth.
Big data analytics service offers different use cases and applications across industries — from predictive analytics and customer segmentation to fraud detection and supply chain optimization. Whether it’s boosting marketing campaigns, improving operational efficiency, or mitigating risks, we help you address a variety of business challenges and opportunities.
Leverage insights to identify inefficiencies, streamline workflows, and improve decision-making. Analyze operational data from various sources like manufacturing systems, supply chain networks, and enterprise apps to improve productivity and reduce costs. Monitor key performance indicators (KPIs) in real-time for proactive decision-making.
Understanding market dynamics, customer preferences, and competitive landscape, big data services providers optimize pricing strategies and maximize revenue. Historical sales data, market trends, and customer behavior will help you develop dynamic pricing models that adjust prices based on demand, competition, and other factors.
Process
Our Big Data Services Process
Technology stack
Big Data Technology Stack We Use
Languages
- Python
- R
Frameworks and Libraries
- Apache Hadoop
- Apache Spark
- Pandas
- NumPy
Visualization for Big Data Services
- PowerBI
- Tableau
- Zoho Analytics
Databases
- SQL (PostgreSQL, MySQL)
- NoSQL (MongoDB, Cassandra)
Data Warehousing
- Amazon Redshift
- Google BigQuery
Machine Learning and Predictive Analytics
- PyTorch
- TensorFlow
- Keras
Cloud Platforms
- Microsoft Azure
- AWS
- Google Cloud
Case Studies
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Facts aboutS-PRO
250+
Engineers
100+
AI projects delivered
Why Customers Choose Us
01
Skilled Talent
By partnering up with a big data provider, you access a team of data architects, developers, DataOps engineers, certified QA engineers, data scientists, project managers, and business analysts. We ensure that your big data project is executed with precision and efficiency.
02
Industry-Centric Approach
Need assistance in healthcare, finance, hospitality, renewable energy, logistics, or manufacturing? Our data service company has practical experience across various domains, allowing us to understand your specific challenges and regulatory requirements.
03
Optimized Budget
DevOps and Agile methodologies allow us to streamline development processes, reduce time-to-market, and eliminate waste. We implement test automation to identify and fix issues early in the development cycle and rightsize cloud resources to avoid unnecessary expenses.
04
High Automation
We set up automated data governance and reporting procedures to streamline your data management processes and reduce the risk of human errors. Our automated workflows ensure data moves smoothly through your systems, from ingestion to analysis to visualization.
05
User-friendly UI
User experience is a top priority for our big data development services. We understand that the success of your project depends on the usability and accessibility of your analytics tools. That’s why we take a user-centric approach to UI design, focusing on clarity, simplicity, and intuitiveness — for both C-level executives and analysts.
06
Convenient time zone
S-PRO ensures seamless communication and collaboration across various time zones. With headquarters in Switzerland, representations in the Netherlands and the USA, and dedicated R&D centers in Zurich and Łódź (Poland), we cover a broad spectrum of regions. We promptly respond to urgent issues, provide round-the-clock support, and maintain effective communication.
Frequently Asked Questions
How much do big data services cost?
The cost of big data implementation varies greatly depending on project complexity, data volume, infrastructure requirements, and the scope of analytics. Typically, such projects can range from tens of thousands to millions of dollars, with ongoing maintenance and support costs.
How long does it take your big data services company to implement a custom solution?
The duration of implementing a custom big data product depends on scope, complexity, data volume, and client requirements. In most data services providers, the process can take anywhere from a few months to over a year.
What types of data sources and data types do you work with?
As a data service company, we work with diverse data sources and types, including structured, semi-structured, and unstructured ones. Our expertise spans various data formats like relational and NoSQL databases, log files, sensor data, social media feeds, etc. We are proficient in extracting, transforming, and analyzing data from various sources to derive valuable insights for our clients.
- Drop us a line:
- Contact us:
R&D centers
Zurich, Switzerland (HQ)
Löwenstrasse 45, 8001
Lodz, Poland
Zachodnia 70, 90-403
Business representatives
Salt Lake City, USA
26 S Rio Grande St #2072, Salt Lake City, UT 84101
Amsterdam, Netherlands
Gustav Mahlerplein 2, 1082 MD