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.

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

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

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.

Data-Driven Innovation

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.

Diverse Use Cases Across Industries

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.

Enhanced Business Operations

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.

Better Pricing

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.

Maximize your data benefits with our big data development services

Get Started

Our Big Data Services Process

DURATION 3+ WEEKS
A TEAM OF 2-5 PROFESSIONALS

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.

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.

Once the data is prepared, our specialists apply analytical techniques and machine learning algorithms to derive insights and uncover patterns within the data.

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.

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

Languages
Frameworks and Libraries
Visualization for Big Data Services
Databases
Data Warehousing
Machine Learning and Predictive Analytics
Cloud Platforms

Python

Apache Hadoop

Apache Spark

Pandas

NumPy

PowerBI

Tableau

Zoho Analytics

SQL (PostgreSQL, MySQL)

NoSQL (MongoDB, Cassandra)

Amazon Redshift

Google BigQuery

PyTorch

TensorFlow

Keras

Microsoft Azure

AWS

Google Cloud

Our Case Studies

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...

Germany

TECH FIRM

Internal operations optimization

VC AI platform which helps to make successful investments

Founded in 1997, Earlybird invests in all development and growth phases of technology companies. Among the most experienced venture investors in Europe, Earlybird offers...

Germany

ENTERPRISE

New business line

Digitalization of the bond sale process for the largest Ukrainian investment fund

Dragon Capital is a leading Ukrainian group of companies in the field of investment and financial services, offering a comprehensive range of...

Ukraine

TECH FIRM

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 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.

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.io

Or call us +41 79 535 63 77

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

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