Data Services Company S-PRO
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.
Big Data Services
Do you have large amounts of data that need storage and analysis? Or maybe you require a real-time processing solution capable of handling thousands of requests? Partner with a reliable data services provider to reach your business goals.
I.
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
II.
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
III.
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
IV.
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
V.
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
VI.
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
VII.
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
Big Data Service Benefits
Does your business need a big data solution? Certainly, if you want to take a stable position in the market and get loyal consumers. Let's see what advantages you can get from cooperation with a data services company.
Customer Insights
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.
Targeting and Recommendations
Data-Driven Innovation
Diverse Use Cases Across Industries
Enhanced Business Operations
Better Pricing
Our Big Data Services Process
1
As a big data service provider, we collaborate with stakeholders to understand business objectives, challenges, and specific requirements. It’s important for us to set clear project goals and define scope, timelines, and resource requirements.
2
At this stage, we collect and aggregate data from various relevant sources. To ensure data quality, consistency, and compatibility with analytics tools and algorithms, it should be cleaned, processed, and transformed.
3
Once the data is prepared, our specialists apply analytical techniques and machine learning algorithms to derive insights and uncover patterns within the data.
4
We develop custom software apps or integrate analytics capabilities into existing systems. Deployment includes testing, validation, and optimization to ensure the solution meets all the requirements.
5
After deployment, we can address any issues, update models, and help you adapt to changes to maximize the effect of big data development services.
Big Data Technology Stack We Use
PyTorch
TensorFlow
Keras
Facts about S-PRO
Team members
250+
Projects delivered
300+
MVPs converted into solutions
95%
Countires / Offices worldwide
6 / 8
Why Customers Choose Us
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.
Industry-Centric Approachh
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.
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.
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.
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.
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 Poland and Ukraine, 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.
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
hi@s-pro.ioOr call us
+41 79 535 63 77Headquarters
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
Let’s discuss you project
Headquarters
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